The Battle of Neighborhoods [Singapore]¶

Introduction¶

Singapore, as a sovereign island city-state in South-East Asia, is an important trading and business hub in the region that attacts thousands of foreign visitors every year for business, work, study and play. For this, it becomes a melting pot of different cultures from the people that visit and work here. In this project, we will try to explore and list the different types of restaurants that serve international cuisines in Singapore.

Business questions to be answered in this project.¶

1. To find out the Thai and Korean restaurants in Singapore¶

3. If a businessman is interested to open a Thai or a Korean restaurant in Singapore, which part of Singapore will be the best place to attract diners?¶

4. What type of venues are the most popular in the neighbourhoods of Singapore?¶

Data¶

For this project, we will be using the following data.

List of neighborhoods in Singapore with location coordinates (latitudes and longitudes).
List of nearby venues in these neighborhoods from FourSquare API.

Methodology¶

First, we will download the planning areas and subzones data from Open Data Singapore link.
We will process the csv data into a Pandas dataframe and remove the unnecessary columns not required in our analysis.
We will call Nominatim inside Geopy library to retrieve the location coordinates of the neighborhoods.
We will find all available venues for each neighborhood using FourSquare API.
We will then filter out the Korean and Thai restaurant venues.
With FourSquare API, we will retrieve the ratings, tips and likes count for the Korean and Thai restaurants.
We will go back to the neighborhoods and sort the dataframe by population count and find out which location is best to open a Korean or Thai restaurant to capture the customers.
We will go back to the retrieved venues for each neighborhood and do a pivot table to see what are the most popular venue in each neighborhood.

Importing the required libraries.

import numpy as np 

import pandas as pd 
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)

import json 

from geopy.geocoders import Nominatim 

import requests 
from pandas.io.json import json_normalize 

import matplotlib.cm as cm
import matplotlib.colors as colors

from sklearn.cluster import KMeans

import folium 

import bs4 as bs
import lxml.html as lh

print('Libraries imported.')

Libraries imported.

After some exploration of the correct data to use for getting the accurate snapshot of the neighborhoods of Singapore, we found the subzones to be more relevant for our analysis. The information of the subzones can be found from the following link [https://data.gov.sg/dataset/resident-population-by-planning-area-subzone-and-type-of-dwelling-2015]. The data is in csv format which is downloaded for analysis.

df = pd.read_csv('resident-population-by-subzone-and-type-of-dwelling.csv')

df.head()

Data Cleaning and manipulation¶

The raw data from the csv will require some cleaning and renaming of columns into meaningful names. We also drop some columns that are not required in our analysis.

df.rename(columns={'level_2':'Area','level_3':'Neighborhood' ,'value': 'Population'}, inplace = True)

df.head()

df = df.drop(['year','level_1'], axis = 1)

df = df.drop_duplicates(subset = ['Neighborhood'])
df.head(10)

From the above pictures captured from the Internet, we can see that the Area comprises of a number of smaller subzones which for this case, we will use as the neighborhoods.

There is no location coordinates (Latitude and Longitude) for the neighborhoods. We will need to do some more manipulation and call Geopy library to get the required information.

neigh = df['Neighborhood'].tolist()

lat = []
lon = []
for x in range(len(neigh)):
    try:
        address = neigh[x] + ', Singapore'
        geolocator = Nominatim(user_agent = "sg_explorer")
        location = geolocator.geocode(address)
        lat.append(location.latitude)
        lon.append(location.longitude)
    except:
        lat.append('0')
        lon.append('0')
print(lat)
print(lon)

[1.3712845, 1.3408630000000001, 1.36820695, 1.4602144, 1.3723986, 1.3112474, 1.3841414, 1.3593241, 1.3817905, 1.3817905, 1.3817905, 1.3128118, 1.3324018, 1.3425058, 1.3171206, 1.3146796, 1.3360277, 1.3210321, 1.3169991, 1.3509859, 1.34860435, 1.354498, '0', 1.302728, 1.3253215, 1.3512849, 1.3490572, 1.3490572, 1.3455305, 1.3588929, 1.3539591999999998, 1.3624042, 1.3553973, 1.277477, 1.277477, 1.2879953, 1.2704395, 1.2476261499999999, 1.2815679, 1.2771286000000002, 1.28115755, '0', 1.264222, 1.2896482, 1.27944885, 1.2725019, 1.2752381, 1.2785818, 1.28617925, 1.28617925, 1.3800554, 1.3651581, 1.3845503, 1.3782544, 1.3463969, 1.3826651, 1.3826778, 1.3358173, 1.3234152, 1.31259105, 1.2904753, 1.3126042, 1.3158886, 1.3429964, 1.3080256, 1.3757082999999999, 1.35107955, 1.35107955, 1.3823894, 1.3892601, 1.3786034, '0', 1.3766705, 1.3974608, 1.3151003, 1.3151003, 1.3151003, 1.29980405, 1.2719239999999998, 1.3080256, 1.3219194, 1.3309244, 1.3033734, 1.276629, 1.2999532999999999, 1.276564, '0', 1.2930272, 1.2904753, 1.2835416999999998, 1.27660565, 1.3164515, 1.3181862, 1.3249544, 1.3296421, 1.32620695, 1.35161105, 1.3710492, 1.3708011, 1.3708011, 1.3839286, 1.3601757, 1.3520481, 1.3353828, 1.2904753, 1.3273734, 1.33298835, 1.3056298499999999, 1.344581, 1.34425, 1.3165214, 1.32089305, 1.3400465, 1.3438518, 1.3438518, 1.3475171000000001, 1.3553973, 1.3396365, 1.3333433499999998, 1.33488355, '0', 1.33828435, 1.3136389, 1.3195690500000001, 1.30558585, 1.3237356, 1.3121599, 1.3082141, 1.3139715, 1.30734955, 1.2973427499999999, 1.4342172, 1.4080963999999998, 1.3052327, 1.3026889, 1.3063254, 1.2968214, 1.2995657999999999, 1.2923829, 1.3065605, 1.3082222, '0', 1.3087228999999998, 1.3128904, 1.31353095, 1.3828816000000002, 1.326226, 1.3190787, 1.3225026, 1.3180495, 1.3267807, 1.2776691, 1.30038375, 1.3060443, 1.2834925, 1.2837372, 1.28489795, 1.2858105, 1.3585664, 1.3753678, 1.3753678, 1.3726634, 1.3730307, 1.37898635, '0', 1.3730307, 1.3174795000000001, 1.3174795000000001, '0', 1.3196353, 1.327735, 1.40297695, 1.4160132, 1.3947438, 1.40519735, 1.4066031, 1.3024428, 1.3113893, 1.311558, 1.3074817, 1.2933374, 1.2953638, 1.2913979, '0', 1.29954015, 1.27620135, 1.27620135, 1.3548836, 1.2977574, 1.30913695, 1.2999069, 1.2958533, 1.2963382, 1.30187, 1.2988336500000002, 1.30030955, 1.2986084500000001, 1.31259105, 1.30128, 1.30684265, 1.30494005, 1.304695, 1.3057009, 1.3027586, 1.3046642, 1.30854205, 1.4098488, 1.4170202, 1.4406369, 1.4490928, 1.4490928, 1.4490928, 1.4405369, 1.458458, 1.4602965, 1.4602965, 1.3935589, 1.394518, 1.3904635, 1.3806234499999999, 1.3919236499999998, 1.3919236499999998, 1.35156575, 1.3854637, 1.3535142, 1.3624579, 1.3713383, '0', 1.3174795000000001, 1.2887213, 1.2881865499999998, 1.29040905, 1.24894585, 1.3892735, 1.4252189, 1.3937774, 1.3375104, 1.4220553, 1.3431881, 1.3560492499999999, 1.3458660999999998, 1.3290801, 1.29902585, 1.30659285, 1.3056239, 1.3065848, 1.3624531, 1.3352618, 1.32778935, 1.3400707, 1.3355302, 1.329711, 1.3398471, 1.3370877, 1.3314141, 1.33198165, 1.33267465, 1.3353028, 1.3391943, 1.3293722, 1.3293722, '0', 1.3293722, 1.3664522, 1.3555198499999999, 1.359286, 1.45415355, 1.4602965, 1.42913595, 1.436897, 1.4271409, 1.436897, 1.4173597, 1.411265, 1.4263793, 1.43571045, 1.398315, 1.42645065, 1.4293839, 1.4293839, 1.4293839]
[103.84699364624538, 103.83039182212079, 103.85636035693713, 103.7766346, 103.8290294792003, 103.8267568, 103.8299403, 103.8553321, 103.8449359, 103.8449359, 103.8449359, 103.93903292138398, 103.9193052, 103.92522980731215, 103.9498854, 103.9191432, 103.9018509, 103.9129269, 103.9195871, 103.84825507492937, 103.83939255166875, 103.83282055067511, '0', 103.69742826207886, 103.7092754, 103.7481953, 103.7495906, 103.7495906, 103.7397329, 103.7518249, 103.75245291425546, 103.76742729372796, 103.7214297, 103.8018803, 103.8018803, 103.82856441508395, 103.82831840176755, 103.68697439819525, 103.8110375, 103.8393679151902, 103.82106078273195, '0', 103.8189255, 103.8167677, 103.83628049727403, 103.8118027, 103.8198612, 103.8166906, 103.82722523285841, 103.82722523285841, 103.7726443, 103.7740781, 103.7708003, 103.7647434, 103.78470640962233, 103.7664418, 103.7623822, 103.7754302, 103.8041317, 103.8542288478267, 103.8520359, 103.7941477, 103.7960136, 103.7906466, 103.7890558, 103.8017434436911, 103.99006409583149, 103.99006409583149, 103.7446238, 103.743728, 103.7490207, '0', 103.7536471, 103.7474009, 103.7652311, 103.7652311, 103.7652311, 103.76787306329607, 103.81717519393024, 103.7890558, 103.77021902971171, 103.75759268038152, 103.76418057554966, 103.8472472, 103.85527814689878, 103.8469576, '0', 103.85264337981533, 103.8520359, 103.85146023266938, 103.84577931609854, 103.8829087, 103.8870563, 103.8767546, 103.89509490099815, 103.88950695393876, 103.89204505000001, 103.89435758379814, 103.89254433997465, 103.89254433997465, 103.9022055, 103.88511197287917, 103.8845867, 103.88830605859883, 103.8520359, 103.74761062795277, 103.74195882406067, 103.72125142873975, 103.7281439, 103.7206931, 103.73213535600394, 103.73793421271182, 103.7426012, 103.73932984583801, 103.73932984583801, 103.71387991665716, 103.7214297, 103.7073387, 103.69396679099145, 103.72078867428404, '0', 103.69108941866651, 103.86300121034482, 103.86174867772831, 103.86308765668299, 103.8695404, 103.8618092, 103.865911, 103.8454729, 103.86315267326367, 103.87376426134355, 103.7149872, 103.75832690113953, 103.90505238485225, 103.9073952, 103.88272779279126, 103.85066583319599, 103.84531733196371, 103.8442419564924, 103.83943983779069, 103.8341091, '0', 103.84034211529688, 103.8396116, 103.8266548476678, 104.05072579821655, 103.8473149, 103.8314945, 103.82646865312145, 103.8501454, 103.8293716, 103.8460375, 103.8388284758278, 103.8152804, 103.8465903, 103.8437976, 103.8398283978549, 103.8441598, 103.9647332, 103.9772924, 103.9772924, 103.9479432, 103.949255, 103.95037978854626, '0', 103.949255, 103.89235252467483, 103.89235252467483, '0', 103.6606551, 103.6782221, 103.89539315920315, 103.90433137126234, 103.9117163, 103.90234976571602, 103.90207073683268, 103.7983085, 103.778605, 103.788797, 103.7941183, 103.78449364604653, 103.8132365, 103.8017377, '0', 103.78725843058069, 103.7914758234202, 103.7914758234202, 103.98801277346743, 103.8004623, 103.77814365807117, 103.79810867117243, 103.8400763, 103.8325858, 103.8274901, 103.84090593212014, 103.83061642302155, 103.85012699630914, 103.8542288478267, 103.8599267, 103.84927355170905, 103.84884715227221, 103.8487016, 103.8582073, 103.8502417, 103.8564837, 103.92745780276405, 103.8773789, 103.86808181112622, 103.8009592, 103.8200555, 103.8200555, 103.8200555, 103.82607667170109, 103.83740461856749, 103.8052452, 103.8052452, 103.88510756452612, 103.9004349, 103.8770826, 103.8984008073542, 103.89549093760694, 103.89549093760694, 103.86386218385945, 103.8656683, 103.8716163518423, 103.8660127, 103.8727563, '0', 103.89235252467483, 103.8492752, 103.84639555444176, 103.83812675642012, 103.83430564159272, 103.7591549, 103.7619891, 103.7525278, 103.92895450002683, 103.76418206903227, 103.953371, 103.95513588323088, 103.93846350820903, 103.965004, 103.82488875720048, 103.82299205452577, 103.803488, 103.8150564, 103.72504010422139, 103.87216677548015, 103.8502130374628, 103.84675837096586, 103.8833207, 103.8589681, 103.8563246, 103.85567368799579, 103.8691380822365, 103.87447915981068, 103.85053866656415, 103.8419126, 103.87082151823131, 103.6482364, 103.6482364, '0', 103.6482364, 103.6810305, 103.93278040127177, 103.83403591176392, 103.79233534647962, 103.8052452, 103.78125034810185, 103.786216, 103.79429763815054, 103.786216, 103.8330179, 103.85213585565683, 103.83358336447131, 103.84071947342821, 103.81805726106943, 103.83720383435042, 103.8350282, 103.8350282, 103.8350282]

df.insert(1,"Latitude", None)
df.insert(2,"Longitude", None)
df.head()

df['Latitude']= lat
df['Longitude'] = lon
df.head()

df['Latitude'] = df['Latitude'].astype('float64')
df['Longitude'] = df['Longitude'].astype('float64')
df.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 281 entries, 0 to 280
Data columns (total 5 columns):
 #   Column        Non-Null Count  Dtype  
---  ------        --------------  -----  
 0   Area          281 non-null    object 
 1   Latitude      281 non-null    float64
 2   Longitude     281 non-null    float64
 3   Neighborhood  281 non-null    object 
 4   Population    281 non-null    int64  
dtypes: float64(2), int64(1), object(2)
memory usage: 13.2+ KB

df2 = df[(df['Latitude'] != 0) | (df['Longitude'] != 0)]
df2.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 270 entries, 0 to 280
Data columns (total 5 columns):
 #   Column        Non-Null Count  Dtype  
---  ------        --------------  -----  
 0   Area          270 non-null    object 
 1   Latitude      270 non-null    float64
 2   Longitude     270 non-null    float64
 3   Neighborhood  270 non-null    object 
 4   Population    270 non-null    int64  
dtypes: float64(2), int64(1), object(2)
memory usage: 12.7+ KB

import matplotlib.pyplot as plt
plt.figure(figsize = (11,10), dpi = 100)
# title
plt.title('Number of Neighborhoods for each Area in Singapore')
#On x-axis
plt.xlabel('Area', fontsize = 15)
#On y-axis
plt.ylabel('No.of Neighborhood', fontsize = 15)
#giving a bar plot
df2.groupby('Area')['Neighborhood'].count().plot(kind = 'bar')
#legend
plt.legend()
#displays the plot
plt.show()

With the location coordinates obtained from Geopy library, we can create a map visualization to view the neighborhoods of Singapore.

address = 'Singapore'

geolocator = Nominatim(user_agent = "sg_explorer")
location = geolocator.geocode(address, timeout = 10)
latitude = location.latitude
longitude = location.longitude
print('The geograpical coordinate of Singapore are {}, {}.'.format(latitude, longitude))

The geograpical coordinate of Singapore are 1.3408630000000001, 103.83039182212079.

map_Sg = folium.Map(location = [latitude, longitude], zoom_start = 11)

for lat, lng, neighborhood, area in zip(df2['Latitude'], df2['Longitude'], 
                                          df2['Neighborhood'], df2['Area']):
    label = '{},{}'.format(area, neighborhood)
    label = folium.Popup(label, parse_html = True)
    folium.CircleMarker(
        [lat, lng],
        radius = 3,
        popup = label,
        color = 'red',
        fill = True,
        fill_color = '#3186cc',
        fill_opacity = 0.6,
        parse_html = False).add_to(map_Sg)  
    
map_Sg

Getting the venues from Foursquare API¶

Next we shall use Foursquare API to query the venues in these neighborhoods.

def getNearbyVenues(names, latitudes, longitudes, radius = 1000):
    
    venues_list = []
    for name, lat, lng in zip(names, latitudes, longitudes):
            

        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(
            CLIENT_ID, 
            CLIENT_SECRET, 
            VERSION, 
            lat, 
            lng, 
            radius, 
            1000)
            
        # make the GET request
        results = requests.get(url).json()["response"]['groups'][0]['items']
        
        # return only relevant information for each nearby venue
        venues_list.append([(
            name, 
            lat, 
            lng, 
            v['venue']['name'], 
            v['venue']['id'],
            v['venue']['location']['lat'], 
            v['venue']['location']['lng'],  
            v['venue']['categories'][0]['name']) for v in results])

    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])
    nearby_venues.columns = ['Neighborhood', 
                  'Neighborhood Latitude', 
                  'Neighborhood Longitude', 
                  'Venue', 'Venue ID',
                  'Venue Latitude', 
                  'Venue Longitude', 
                  'Venue Category']
    
    return(nearby_venues)

sg_venues = getNearbyVenues(names = df2['Neighborhood'], latitudes = df2['Latitude'],
                            longitudes = df2['Longitude'])
sg_venues.shape

(16427, 8)

sg_venues.head(15)

print('There are {} uniques categories.'.format(len(sg_venues['Venue Category'].unique())))

There are 382 uniques categories.

sg_venues_clean = sg_venues.drop_duplicates(subset='Venue ID', keep="first")

sg_venues_clean.shape

(6276, 8)

sg_venues_clean.groupby('Neighborhood').count()

Analyze the venue categories in each neighborhood¶

After calling FourSquare API to get the nearby venues in each neighborhood, we can further analyze the data to find out in more details, what are the most popular venues in each neighborhood and also to explore whether there is any similarities or difference in the venue categories in each neighborhood.

First, we get a new dataframe to store the venue category from the sg_venues_clean dataframe. We then encode a value to each occurrence of the venue found.

# one hot encoding
sg_onehot = pd.get_dummies(sg_venues_clean[['Venue Category']], prefix="", prefix_sep = "")

# add neighborhood column back to dataframe
sg_onehot['Neighborhood'] = sg_venues_clean['Neighborhood'] 

# move neighborhood column to the first column
fixed_columns = [sg_onehot.columns[-1]] + list(sg_onehot.columns[:-1])
sg_onehot = sg_onehot[fixed_columns]

sg_onehot.head()

sg_onehot.shape

(6276, 382)

sg_group = sg_onehot.groupby('Neighborhood').mean().reset_index()
sg_group

sg_group.shape

(225, 382)

def return_most_common_venues(row, num_top_venues):
    row_categories = row.iloc[1:]
    row_categories_sorted = row_categories.sort_values(ascending = False)
    
    return row_categories_sorted.index.values[0:num_top_venues]

num_top_venues = 10

indicators = ['st', 'nd', 'rd']

# create columns according to number of top venues
columns = ['Neighborhood']
for ind in np.arange(num_top_venues):
    try:
        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))
    except:
        columns.append('{}th Most Common Venue'.format(ind+1))

# create a new dataframe
sg_venues_sorted = pd.DataFrame(columns = columns)
sg_venues_sorted['Neighborhood'] = sg_group['Neighborhood']

for ind in np.arange(sg_group.shape[0]):
    sg_venues_sorted.iloc[ind, 1:] = return_most_common_venues(sg_group.iloc[ind, :], num_top_venues)

sg_venues_sorted

# set number of clusters
kclusters = 5

sg_group_clustering = sg_group.drop('Neighborhood', 1)

# run k-means clustering
kmeans = KMeans(n_clusters = kclusters, random_state = 0).fit(sg_group_clustering)

# check cluster labels generated for each row in the dataframe
kmeans.labels_[0:224]

array([2, 4, 4, 4, 2, 2, 4, 4, 4, 2, 2, 4, 2, 4, 2, 4, 2, 4, 4, 4, 2, 1,
       2, 4, 4, 2, 2, 2, 4, 4, 4, 2, 4, 4, 4, 4, 2, 2, 4, 2, 4, 4, 1, 4,
       4, 4, 4, 4, 4, 4, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 2, 4,
       4, 4, 4, 0, 2, 2, 2, 4, 4, 4, 2, 2, 2, 4, 4, 4, 4, 0, 4, 4, 4, 4,
       2, 4, 2, 4, 4, 4, 2, 4, 4, 4, 4, 2, 4, 2, 4, 2, 4, 4, 4, 4, 4, 4,
       4, 2, 2, 4, 4, 0, 4, 2, 4, 3, 4, 2, 4, 4, 4, 2, 4, 4, 1, 4, 4, 4,
       4, 4, 4, 2, 2, 4, 3, 4, 4, 0, 4, 2, 2, 4, 3, 4, 4, 2, 4, 4, 0, 4,
       4, 4, 4, 2, 2, 4, 0, 3, 4, 4, 4, 4, 2, 4, 4, 2, 4, 0, 0, 2, 4, 4,
       4, 2, 4, 2, 4, 2, 4, 4, 2, 4, 4, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 2,
       4, 4, 4, 2, 2, 4, 4, 2, 4, 2, 3, 2, 4, 4, 4, 2, 4, 4, 2, 2, 3, 4,
       4, 2, 2, 4])

sg_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)
sg_merged = df2
sg_merged = sg_merged.join(sg_venues_sorted.set_index('Neighborhood'), on ='Neighborhood')

sg_merged.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 270 entries, 0 to 280
Data columns (total 16 columns):
 #   Column                  Non-Null Count  Dtype  
---  ------                  --------------  -----  
 0   Area                    270 non-null    object 
 1   Latitude                270 non-null    float64
 2   Longitude               270 non-null    float64
 3   Neighborhood            270 non-null    object 
 4   Population              270 non-null    int64  
 5   Cluster Labels          225 non-null    float64
 6   1st Most Common Venue   225 non-null    object 
 7   2nd Most Common Venue   225 non-null    object 
 8   3rd Most Common Venue   225 non-null    object 
 9   4th Most Common Venue   225 non-null    object 
 10  5th Most Common Venue   225 non-null    object 
 11  6th Most Common Venue   225 non-null    object 
 12  7th Most Common Venue   225 non-null    object 
 13  8th Most Common Venue   225 non-null    object 
 14  9th Most Common Venue   225 non-null    object 
 15  10th Most Common Venue  225 non-null    object 
dtypes: float64(3), int64(1), object(12)
memory usage: 35.9+ KB

sg_merged1 = sg_merged.dropna()

sg_merged1['Cluster Labels'] = sg_merged1['Cluster Labels'].astype('int64')

C:\Users\etentan\Anaconda3\lib\site-packages\ipykernel_launcher.py:1: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  """Entry point for launching an IPython kernel.

sg_merged1.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 225 entries, 0 to 277
Data columns (total 16 columns):
 #   Column                  Non-Null Count  Dtype  
---  ------                  --------------  -----  
 0   Area                    225 non-null    object 
 1   Latitude                225 non-null    float64
 2   Longitude               225 non-null    float64
 3   Neighborhood            225 non-null    object 
 4   Population              225 non-null    int64  
 5   Cluster Labels          225 non-null    int64  
 6   1st Most Common Venue   225 non-null    object 
 7   2nd Most Common Venue   225 non-null    object 
 8   3rd Most Common Venue   225 non-null    object 
 9   4th Most Common Venue   225 non-null    object 
 10  5th Most Common Venue   225 non-null    object 
 11  6th Most Common Venue   225 non-null    object 
 12  7th Most Common Venue   225 non-null    object 
 13  8th Most Common Venue   225 non-null    object 
 14  9th Most Common Venue   225 non-null    object 
 15  10th Most Common Venue  225 non-null    object 
dtypes: float64(2), int64(2), object(12)
memory usage: 29.9+ KB

map_clusters = folium.Map(location = [latitude, longitude], zoom_start = 11)

x = np.arange(kclusters)
ys = [i + x + (i*x)**2 for i in range(kclusters)]
colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))
rainbow = [colors.rgb2hex(i) for i in colors_array]

markers_colors = []
for lat, lon, poi, cluster in zip(sg_merged1['Latitude'], sg_merged1['Longitude'], 
                                  sg_merged1['Neighborhood'], sg_merged1['Cluster Labels']):
    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html = True)
    folium.CircleMarker(
        [lat, lon],
        radius = 5,
        popup = label,
        color = rainbow[cluster-1],
        fill = True,
        fill_color = rainbow[cluster-1],
        fill_opacity = 0.7).add_to(map_clusters)
       
map_clusters

Cluster 1¶

sg_merged1.loc[sg_merged1['Cluster Labels'] == 0, 
                     sg_merged1.columns[[1] + list(range(5, sg_merged1.shape[1]))]]

Cluster 2¶

sg_merged1.loc[sg_merged1['Cluster Labels'] == 1, 
                     sg_merged1.columns[[1] + list(range(5, sg_merged1.shape[1]))]]

Cluster 3¶

sg_merged1.loc[sg_merged1['Cluster Labels'] == 2, 
                     sg_merged1.columns[[1] + list(range(5, sg_merged1.shape[1]))]]

Recommendations for Korean and Thai restaurants in Singapore¶

Next we shall investigate the venues pulled from Foursquare API to answer the following questions.

To find out the Thai and Korean restaurants in Singapore
The best rated Thai and Korean restaurant in Singapore to recommend for a Korean or a Thai visiting Singapore.
If a businessman is interested to open a Thai or a Korean restaurant in Singapore, which part of Singapore will be the best place to attract diners?

def get_venue_details(venue_id):


    url = 'https://api.foursquare.com/v2/venues/{}?&client_id={}&client_secret={}&v={}'.format(
            venue_id,
            CLIENT_ID, 
            CLIENT_SECRET, 
            VERSION)
    

    results = requests.get(url).json()
    venue_data = results['response']['venue']
    venue_details = []
    try:
        venue_id = venue_data['id']
        venue_name = venue_data['name']
        venue_likes = venue_data['likes']['count']
        venue_rating = venue_data['rating']
        venue_tips = venue_data['tips']['count']
        venue_details.append([venue_id,venue_name,venue_likes,venue_rating,venue_tips])
    except KeyError:
        pass
        
    column_names = ['ID','Name','Likes','Rating','Tips']
    df = pd.DataFrame(venue_details,columns=column_names)
    return df

def get_venues(lat,lng):

    radius = 1000
    LIMIT=1000

    
    url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(
            CLIENT_ID, 
            CLIENT_SECRET, 
            VERSION, 
            lat, 
            lng, 
            radius, 
            LIMIT)
    
   
    results = requests.get(url).json()
    venue_data = results["response"]['groups'][0]['items']
    venue_details = []
    for row in venue_data:
        try:
            venue_id = row['venue']['id']
            venue_name = row['venue']['name']
            venue_category = row['venue']['categories'][0]['name']
            venue_details.append([venue_id,venue_name,venue_category])
        except KeyError:
            pass
        
    column_names = ['ID','Name','Category']
    df = pd.DataFrame(venue_details,columns = column_names)
    return df

df2.head()

sg_venues.head()

column_names = ['Neighborhood', 'ID','Name']
korean_rest = pd.DataFrame(columns = column_names)
count = 1
for row in df2.values.tolist():
    Area, Latitude, Longitude,Neighborhood, Population = row
    venues = get_venues(Latitude,Longitude)
    korean_resturants = venues[venues['Category'] == 'Korean Restaurant']   
    print('(',count,'/',len(df2),')','Korean Resturants in '+Neighborhood+', :'+str(len(korean_resturants)))
    for detail in korean_resturants.values.tolist():
        id, name , category = detail
        korean_rest = korean_rest.append({'Neighborhood': Neighborhood, 
                                                'ID': id,
                                                'Name' : name
                                               }, ignore_index = True)
    count+=1

( 1 / 270 ) Korean Resturants in Ang Mo Kio Town Centre, :0
( 2 / 270 ) Korean Resturants in Cheng San, :0
( 3 / 270 ) Korean Resturants in Chong Boon, :0
( 4 / 270 ) Korean Resturants in Kebun Bahru, :0
( 5 / 270 ) Korean Resturants in Sembawang Hills, :0
( 6 / 270 ) Korean Resturants in Shangri-La, :1
( 7 / 270 ) Korean Resturants in Tagore, :0
( 8 / 270 ) Korean Resturants in Townsville, :0
( 9 / 270 ) Korean Resturants in Yio Chu Kang, :0
( 10 / 270 ) Korean Resturants in Yio Chu Kang East, :0
( 11 / 270 ) Korean Resturants in Yio Chu Kang West, :0
( 12 / 270 ) Korean Resturants in Bayshore, :0
( 13 / 270 ) Korean Resturants in Bedok North, :0
( 14 / 270 ) Korean Resturants in Bedok Reservoir, :0
( 15 / 270 ) Korean Resturants in Bedok South, :0
( 16 / 270 ) Korean Resturants in Frankel, :0
( 17 / 270 ) Korean Resturants in Kaki Bukit, :0
( 18 / 270 ) Korean Resturants in Kembangan, :0
( 19 / 270 ) Korean Resturants in Siglap, :0
( 20 / 270 ) Korean Resturants in Bishan East, :0
( 21 / 270 ) Korean Resturants in Marymount, :1
( 22 / 270 ) Korean Resturants in Upper Thomson, :0
( 23 / 270 ) Korean Resturants in Samulun, :0
( 24 / 270 ) Korean Resturants in Tukang, :0
( 25 / 270 ) Korean Resturants in Bukit Batok Central, :0
( 26 / 270 ) Korean Resturants in Bukit Batok East, :0
( 27 / 270 ) Korean Resturants in Bukit Batok South, :0
( 28 / 270 ) Korean Resturants in Bukit Batok West, :0
( 29 / 270 ) Korean Resturants in Gombak, :0
( 30 / 270 ) Korean Resturants in Guilin, :0
( 31 / 270 ) Korean Resturants in Hillview, :0
( 32 / 270 ) Korean Resturants in Hong Kah North, :0
( 33 / 270 ) Korean Resturants in Alexandra Hill, :0
( 34 / 270 ) Korean Resturants in Alexandra North, :0
( 35 / 270 ) Korean Resturants in Bukit Ho Swee, :1
( 36 / 270 ) Korean Resturants in Bukit Merah, :0
( 37 / 270 ) Korean Resturants in City Terminals, :0
( 38 / 270 ) Korean Resturants in Depot Road, :1
( 39 / 270 ) Korean Resturants in Everton Park, :2
( 40 / 270 ) Korean Resturants in Henderson Hill, :0
( 41 / 270 ) Korean Resturants in Maritime Square, :1
( 42 / 270 ) Korean Resturants in Redhill, :0
( 43 / 270 ) Korean Resturants in Singapore General Hospital, :2
( 44 / 270 ) Korean Resturants in Telok Blangah Drive, :0
( 45 / 270 ) Korean Resturants in Telok Blangah Rise, :0
( 46 / 270 ) Korean Resturants in Telok Blangah Way, :0
( 47 / 270 ) Korean Resturants in Tiong Bahru, :1
( 48 / 270 ) Korean Resturants in Tiong Bahru Station, :1
( 49 / 270 ) Korean Resturants in Bangkit, :0
( 50 / 270 ) Korean Resturants in Dairy Farm, :0
( 51 / 270 ) Korean Resturants in Fajar, :0
( 52 / 270 ) Korean Resturants in Jelebu, :0
( 53 / 270 ) Korean Resturants in Nature Reserve, :0
( 54 / 270 ) Korean Resturants in Saujana, :1
( 55 / 270 ) Korean Resturants in Senja, :0
( 56 / 270 ) Korean Resturants in Anak Bukit, :8
( 57 / 270 ) Korean Resturants in Coronation Road, :0
( 58 / 270 ) Korean Resturants in Farrer Court, :0
( 59 / 270 ) Korean Resturants in Hillcrest, :1
( 60 / 270 ) Korean Resturants in Holland Road, :1
( 61 / 270 ) Korean Resturants in Leedon Park, :0
( 62 / 270 ) Korean Resturants in Swiss Club, :0
( 63 / 270 ) Korean Resturants in Ulu Pandan, :1
( 64 / 270 ) Korean Resturants in Central Water Catchment, :0
( 65 / 270 ) Korean Resturants in Changi Point, :0
( 66 / 270 ) Korean Resturants in Changi West, :0
( 67 / 270 ) Korean Resturants in Choa Chu Kang Central, :0
( 68 / 270 ) Korean Resturants in Choa Chu Kang North, :0
( 69 / 270 ) Korean Resturants in Keat Hong, :0
( 70 / 270 ) Korean Resturants in Teck Whye, :0
( 71 / 270 ) Korean Resturants in Yew Tee, :0
( 72 / 270 ) Korean Resturants in Clementi Central, :1
( 73 / 270 ) Korean Resturants in Clementi North, :1
( 74 / 270 ) Korean Resturants in Clementi West, :1
( 75 / 270 ) Korean Resturants in Clementi Woods, :1
( 76 / 270 ) Korean Resturants in Faber, :0
( 77 / 270 ) Korean Resturants in Pandan, :1
( 78 / 270 ) Korean Resturants in Sunset Way, :1
( 79 / 270 ) Korean Resturants in Toh Tuck, :0
( 80 / 270 ) Korean Resturants in West Coast, :0
( 81 / 270 ) Korean Resturants in Anson, :3
( 82 / 270 ) Korean Resturants in Bugis, :0
( 83 / 270 ) Korean Resturants in Cecil, :2
( 84 / 270 ) Korean Resturants in City Hall, :1
( 85 / 270 ) Korean Resturants in Marina Centre, :1
( 86 / 270 ) Korean Resturants in Raffles Place, :2
( 87 / 270 ) Korean Resturants in Tanjong Pagar, :2
( 88 / 270 ) Korean Resturants in Aljunied, :1
( 89 / 270 ) Korean Resturants in Geylang East, :0
( 90 / 270 ) Korean Resturants in Kallang Way, :0
( 91 / 270 ) Korean Resturants in Kampong Ubi, :0
( 92 / 270 ) Korean Resturants in Macpherson, :0
( 93 / 270 ) Korean Resturants in Defu Industrial Park, :0
( 94 / 270 ) Korean Resturants in Hougang Central, :0
( 95 / 270 ) Korean Resturants in Hougang East, :0
( 96 / 270 ) Korean Resturants in Hougang West, :0
( 97 / 270 ) Korean Resturants in Kangkar, :0
( 98 / 270 ) Korean Resturants in Kovan, :1
( 99 / 270 ) Korean Resturants in Lorong Ah Soo, :2
( 100 / 270 ) Korean Resturants in Tai Seng, :0
( 101 / 270 ) Korean Resturants in Trafalgar, :1
( 102 / 270 ) Korean Resturants in International Business Park, :1
( 103 / 270 ) Korean Resturants in Jurong Gateway, :2
( 104 / 270 ) Korean Resturants in Jurong Port, :0
( 105 / 270 ) Korean Resturants in Jurong River, :0
( 106 / 270 ) Korean Resturants in Lakeside, :0
( 107 / 270 ) Korean Resturants in Penjuru Crescent, :0
( 108 / 270 ) Korean Resturants in Teban Gardens, :0
( 109 / 270 ) Korean Resturants in Toh Guan, :2
( 110 / 270 ) Korean Resturants in Yuhua East, :0
( 111 / 270 ) Korean Resturants in Yuhua West, :0
( 112 / 270 ) Korean Resturants in Boon Lay Place, :0
( 113 / 270 ) Korean Resturants in Hong Kah, :0
( 114 / 270 ) Korean Resturants in Jurong West Central, :0
( 115 / 270 ) Korean Resturants in Kian Teck, :0
( 116 / 270 ) Korean Resturants in Taman Jurong, :0
( 117 / 270 ) Korean Resturants in Yunnan, :0
( 118 / 270 ) Korean Resturants in Bendemeer, :0
( 119 / 270 ) Korean Resturants in Boon Keng, :0
( 120 / 270 ) Korean Resturants in Crawford, :0
( 121 / 270 ) Korean Resturants in Geylang Bahru, :0
( 122 / 270 ) Korean Resturants in Kallang Bahru, :0
( 123 / 270 ) Korean Resturants in Kampong Bugis, :1
( 124 / 270 ) Korean Resturants in Kampong Java, :0
( 125 / 270 ) Korean Resturants in Lavender, :0
( 126 / 270 ) Korean Resturants in Tanjong Rhu, :1
( 127 / 270 ) Korean Resturants in Lim Chu Kang, :0
( 128 / 270 ) Korean Resturants in Mandai Estate, :0
( 129 / 270 ) Korean Resturants in Katong, :1
( 130 / 270 ) Korean Resturants in Marine Parade, :1
( 131 / 270 ) Korean Resturants in Mountbatten, :1
( 132 / 270 ) Korean Resturants in Bras Basah, :0
( 133 / 270 ) Korean Resturants in Dhoby Ghaut, :1
( 134 / 270 ) Korean Resturants in Fort Canning, :2
( 135 / 270 ) Korean Resturants in Cairnhill, :1
( 136 / 270 ) Korean Resturants in Goodwood Park, :0
( 137 / 270 ) Korean Resturants in Monk's Hill, :1
( 138 / 270 ) Korean Resturants in Newton Circus, :0
( 139 / 270 ) Korean Resturants in Orange Grove, :1
( 140 / 270 ) Korean Resturants in North-Eastern Islands, :0
( 141 / 270 ) Korean Resturants in Balestier, :0
( 142 / 270 ) Korean Resturants in Dunearn, :0
( 143 / 270 ) Korean Resturants in Malcolm, :0
( 144 / 270 ) Korean Resturants in Moulmein, :0
( 145 / 270 ) Korean Resturants in Mount Pleasant, :0
( 146 / 270 ) Korean Resturants in Boulevard, :3
( 147 / 270 ) Korean Resturants in Somerset, :1
( 148 / 270 ) Korean Resturants in Tanglin, :2
( 149 / 270 ) Korean Resturants in China Square, :3
( 150 / 270 ) Korean Resturants in Chinatown, :4
( 151 / 270 ) Korean Resturants in Pearl's Hill, :1
( 152 / 270 ) Korean Resturants in People's Park, :2
( 153 / 270 ) Korean Resturants in Flora Drive, :0
( 154 / 270 ) Korean Resturants in Loyang East, :0
( 155 / 270 ) Korean Resturants in Loyang West, :0
( 156 / 270 ) Korean Resturants in Pasir Ris Central, :0
( 157 / 270 ) Korean Resturants in Pasir Ris Drive, :0
( 158 / 270 ) Korean Resturants in Pasir Ris Park, :0
( 159 / 270 ) Korean Resturants in Pasir Ris West, :0
( 160 / 270 ) Korean Resturants in Paya Lebar East, :0
( 161 / 270 ) Korean Resturants in Paya Lebar North, :0
( 162 / 270 ) Korean Resturants in Gul Circle, :0
( 163 / 270 ) Korean Resturants in Joo Koon, :0
( 164 / 270 ) Korean Resturants in Matilda, :0
( 165 / 270 ) Korean Resturants in Northshore, :0
( 166 / 270 ) Korean Resturants in Punggol Field, :0
( 167 / 270 ) Korean Resturants in Punggol Town Centre, :0
( 168 / 270 ) Korean Resturants in Waterway East, :0
( 169 / 270 ) Korean Resturants in Commonwealth, :0
( 170 / 270 ) Korean Resturants in Dover, :1
( 171 / 270 ) Korean Resturants in Ghim Moh, :1
( 172 / 270 ) Korean Resturants in Holland Drive, :1
( 173 / 270 ) Korean Resturants in Kent Ridge, :2
( 174 / 270 ) Korean Resturants in Margaret Drive, :2
( 175 / 270 ) Korean Resturants in Mei Chin, :1
( 176 / 270 ) Korean Resturants in One North, :0
( 177 / 270 ) Korean Resturants in Pasir Panjang 1, :0
( 178 / 270 ) Korean Resturants in Pasir Panjang 2, :0
( 179 / 270 ) Korean Resturants in Port, :0
( 180 / 270 ) Korean Resturants in Queensway, :0
( 181 / 270 ) Korean Resturants in Singapore Polytechnic, :1
( 182 / 270 ) Korean Resturants in Tanglin Halt, :0
( 183 / 270 ) Korean Resturants in Institution Hill, :1
( 184 / 270 ) Korean Resturants in Leonie Hill, :0
( 185 / 270 ) Korean Resturants in One Tree Hill, :1
( 186 / 270 ) Korean Resturants in Oxley, :1
( 187 / 270 ) Korean Resturants in Paterson, :0
( 188 / 270 ) Korean Resturants in Bencoolen, :0
( 189 / 270 ) Korean Resturants in Farrer Park, :0
( 190 / 270 ) Korean Resturants in Kampong Glam, :0
( 191 / 270 ) Korean Resturants in Little India, :0
( 192 / 270 ) Korean Resturants in Mackenzie, :1
( 193 / 270 ) Korean Resturants in Mount Emily, :1
( 194 / 270 ) Korean Resturants in Rochor Canal, :0
( 195 / 270 ) Korean Resturants in Selegie, :0
( 196 / 270 ) Korean Resturants in Sungei Road, :0
( 197 / 270 ) Korean Resturants in Victoria, :0
( 198 / 270 ) Korean Resturants in Seletar, :0
( 199 / 270 ) Korean Resturants in Seletar Aerospace Park, :0
( 200 / 270 ) Korean Resturants in Admiralty, :0
( 201 / 270 ) Korean Resturants in Sembawang Central, :0
( 202 / 270 ) Korean Resturants in Sembawang East, :0
( 203 / 270 ) Korean Resturants in Sembawang North, :0
( 204 / 270 ) Korean Resturants in Sembawang Springs, :0
( 205 / 270 ) Korean Resturants in Sembawang Straits, :0
( 206 / 270 ) Korean Resturants in Senoko North, :0
( 207 / 270 ) Korean Resturants in Senoko South, :0
( 208 / 270 ) Korean Resturants in Anchorvale, :0
( 209 / 270 ) Korean Resturants in Compassvale, :0
( 210 / 270 ) Korean Resturants in Fernvale, :0
( 211 / 270 ) Korean Resturants in Rivervale, :0
( 212 / 270 ) Korean Resturants in Sengkang Town Centre, :0
( 213 / 270 ) Korean Resturants in Sengkang West, :0
( 214 / 270 ) Korean Resturants in Lorong Chuan, :0
( 215 / 270 ) Korean Resturants in Seletar Hills, :0
( 216 / 270 ) Korean Resturants in Serangoon Central, :2
( 217 / 270 ) Korean Resturants in Serangoon Garden, :1
( 218 / 270 ) Korean Resturants in Serangoon North, :0
( 219 / 270 ) Korean Resturants in Upper Paya Lebar, :0
( 220 / 270 ) Korean Resturants in Boat Quay, :2
( 221 / 270 ) Korean Resturants in Clarke Quay, :2
( 222 / 270 ) Korean Resturants in Robertson Quay, :0
( 223 / 270 ) Korean Resturants in Sentosa, :0
( 224 / 270 ) Korean Resturants in Gali Batu, :0
( 225 / 270 ) Korean Resturants in Kranji, :0
( 226 / 270 ) Korean Resturants in Pang Sua, :0
( 227 / 270 ) Korean Resturants in Reservoir View, :0
( 228 / 270 ) Korean Resturants in Turf Club, :0
( 229 / 270 ) Korean Resturants in Simei, :0
( 230 / 270 ) Korean Resturants in Tampines East, :0
( 231 / 270 ) Korean Resturants in Tampines West, :0
( 232 / 270 ) Korean Resturants in Xilin, :0
( 233 / 270 ) Korean Resturants in Chatsworth, :1
( 234 / 270 ) Korean Resturants in Nassim, :1
( 235 / 270 ) Korean Resturants in Ridout, :0
( 236 / 270 ) Korean Resturants in Tyersall, :2
( 237 / 270 ) Korean Resturants in Tengah, :0
( 238 / 270 ) Korean Resturants in Bidadari, :0
( 239 / 270 ) Korean Resturants in Boon Teck, :0
( 240 / 270 ) Korean Resturants in Braddell, :1
( 241 / 270 ) Korean Resturants in Joo Seng, :0
( 242 / 270 ) Korean Resturants in Kim Keat, :0
( 243 / 270 ) Korean Resturants in Lorong 8 Toa Payoh, :0
( 244 / 270 ) Korean Resturants in Pei Chun, :0
( 245 / 270 ) Korean Resturants in Potong Pasir, :0
( 246 / 270 ) Korean Resturants in Sennett, :0
( 247 / 270 ) Korean Resturants in Toa Payoh Central, :0
( 248 / 270 ) Korean Resturants in Toa Payoh West, :1
( 249 / 270 ) Korean Resturants in Woodleigh, :0
( 250 / 270 ) Korean Resturants in Tuas Bay, :0
( 251 / 270 ) Korean Resturants in Tuas North, :0
( 252 / 270 ) Korean Resturants in Tuas View, :0
( 253 / 270 ) Korean Resturants in Western Water Catchment, :0
( 254 / 270 ) Korean Resturants in Greenwood Park, :0
( 255 / 270 ) Korean Resturants in Midview, :1
( 256 / 270 ) Korean Resturants in North Coast, :0
( 257 / 270 ) Korean Resturants in Senoko West, :0
( 258 / 270 ) Korean Resturants in Woodgrove, :0
( 259 / 270 ) Korean Resturants in Woodlands East, :0
( 260 / 270 ) Korean Resturants in Woodlands South, :0
( 261 / 270 ) Korean Resturants in Woodlands West, :0
( 262 / 270 ) Korean Resturants in Khatib, :0
( 263 / 270 ) Korean Resturants in Lower Seletar, :0
( 264 / 270 ) Korean Resturants in Nee Soon, :0
( 265 / 270 ) Korean Resturants in Northland, :0
( 266 / 270 ) Korean Resturants in Springleaf, :0
( 267 / 270 ) Korean Resturants in Yishun Central, :0
( 268 / 270 ) Korean Resturants in Yishun East, :0
( 269 / 270 ) Korean Resturants in Yishun South, :0
( 270 / 270 ) Korean Resturants in Yishun West, :0

korean_rest.head()

korean_rest.shape

(105, 3)

column_names = ['Neighborhood', 'ID','Name','Likes','Rating','Tips']
korean_rest_stats_sg = pd.DataFrame(columns = column_names)
count=1

for row in korean_rest.values.tolist():
    Neighborhood,ID,Name = row
    try:
        venue_details = get_venue_details(ID)
        print(venue_details)
        id,name,likes,rating,tips = venue_details.values.tolist()[0]
    except IndexError:
        print('No data available for id=',ID)
        id,name,likes,rating,tips = [0]*5
    print('(',count,'/',len(korean_rest),')','processed')
    korean_rest_stats_sg = korean_rest_stats_sg.append({
                                                'Neighborhood': Neighborhood, 
                                                'ID': id,
                                                'Name' : name,
                                                'Likes' : likes,
                                                'Rating' : rating,
                                                'Tips' : tips
                                               }, ignore_index = True)
    count+=1

                         ID                                  Name  Likes  \
0  539bda5c498ea6a82328fa17  Seoul Restaurant (Charcoal barbecue)     15   

   Rating  Tips  
0     8.0     7  
( 1 / 105 ) processed
                         ID                      Name  Likes  Rating  Tips
0  4bd4219b77b29c7488289282  Parker Korean Restaurant     10     6.2    16
( 2 / 105 ) processed
                         ID                       Name  Likes  Rating  Tips
0  4f241718e4b0008741f2ca13  BigMama Korean Restaurant     46     7.0    21
( 3 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  55c045ce498ef4ba12e8fd64  The Gogi      9     7.0    11
( 4 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4f57625de4b0a4bae7120806  Super Star K Korean BBQ     54     8.3    20
( 5 / 105 ) processed
                         ID         Name  Likes  Rating  Tips
0  528b5cee11d2eff2bb5cd4d5  Don Dae Bak     25     7.6     4
( 6 / 105 ) processed
                         ID          Name  Likes  Rating  Tips
0  5322a364498ea3d0580f5be9  Paik's Bibim     25     7.3    14
( 7 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4f57625de4b0a4bae7120806  Super Star K Korean BBQ     54     8.3    20
( 8 / 105 ) processed
                         ID         Name  Likes  Rating  Tips
0  528b5cee11d2eff2bb5cd4d5  Don Dae Bak     25     7.6     4
( 9 / 105 ) processed
                         ID                       Name  Likes  Rating  Tips
0  4f241718e4b0008741f2ca13  BigMama Korean Restaurant     46     7.0    21
( 10 / 105 ) processed
                         ID                       Name  Likes  Rating  Tips
0  4f241718e4b0008741f2ca13  BigMama Korean Restaurant     46     7.0    21
( 11 / 105 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 58b7c3384f106962731b516b
( 12 / 105 ) processed
                         ID                      Name  Likes  Rating  Tips
0  553e0db9498e9ba5847ff140  Three Meals a Day (삼시세끼)     19     8.0    15
( 13 / 105 ) processed
                         ID                  Name  Likes  Rating  Tips
0  5618f61f498e1a671fa78f2e  Oven & Fried Chicken      8     7.3     6
( 14 / 105 ) processed
                         ID                         Name  Likes  Rating  Tips
0  4c010d85cf3aa5930e5dccb0  Woorinara Korean Restaurant     17     6.9    11
( 15 / 105 ) processed
                         ID        Name  Likes  Rating  Tips
0  4f9cf067e4b04dd735eaa371  Sin Manbok      9     7.1     8
( 16 / 105 ) processed
                         ID                                 Name  Likes  \
0  4f12b9cce4b07e9ecbbc4a2f  Ga Ya Guem Korean Family Restaurant      8   

   Rating  Tips  
0     6.6     9  
( 17 / 105 ) processed
                         ID                       Name  Likes  Rating  Tips
0  4c652be9c74c1b8df751b383  Joo Mak Korean Restaurant     10     6.2    14
( 18 / 105 ) processed
                         ID                            Name  Likes  Rating  \
0  53d249cc498e53e973aa85a0  名家 (Ming Jia) 명가 II Korean BBQ      3     5.9   

   Tips  
0     5  
( 19 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4cba37b6c7228cfa58c515ce  Kim's Family Restaurant     20     5.7    40
( 20 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  5d1ec4335cbbb2002366cf03  Ajumma's      7     7.7     7
( 21 / 105 ) processed
                         ID     Name  Likes  Rating  Tips
0  5666c8a0498e92a6426490a5  chibing      5     6.7     2
( 22 / 105 ) processed
                         ID     Name  Likes  Rating  Tips
0  5666c8a0498e92a6426490a5  chibing      5     6.7     2
( 23 / 105 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 574e82f1498e44b7c8374534
( 24 / 105 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 574e82f1498e44b7c8374534
( 25 / 105 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 574e82f1498e44b7c8374534
( 26 / 105 ) processed
                         ID       Name  Likes  Rating  Tips
0  4ec0a5c629c25ce5a25d2379  황 Hwang's     13     6.7    14
( 27 / 105 ) processed
                         ID     Name  Likes  Rating  Tips
0  5666c8a0498e92a6426490a5  chibing      5     6.7     2
( 28 / 105 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 574e82f1498e44b7c8374534
( 29 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4f57625de4b0a4bae7120806  Super Star K Korean BBQ     54     8.3    20
( 30 / 105 ) processed
                         ID                                    Name  Likes  \
0  4e5e1aefe4cdfc603ed5c7c3  왕대박 Wang Dae Bak Korean BBQ Restaurant     98   

   Rating  Tips  
0     8.2    33  
( 31 / 105 ) processed
                         ID                  Name  Likes  Rating  Tips
0  543e53f6498e8eacbba09d5e  Oven & Fried Chicken     65     7.8    28
( 32 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4f57625de4b0a4bae7120806  Super Star K Korean BBQ     54     8.3    20
( 33 / 105 ) processed
                         ID                                    Name  Likes  \
0  4e5e1aefe4cdfc603ed5c7c3  왕대박 Wang Dae Bak Korean BBQ Restaurant     98   

   Rating  Tips  
0     8.2    33  
( 34 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  5d1ec4335cbbb2002366cf03  Ajumma's      7     7.7     7
( 35 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  5d1ec4335cbbb2002366cf03  Ajumma's      7     7.7     7
( 36 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  51279816e4b0e4084477c34d  Wang Dae Bak Korean BBQ     71     8.1    23
( 37 / 105 ) processed
                         ID                                    Name  Likes  \
0  4e5e1aefe4cdfc603ed5c7c3  왕대박 Wang Dae Bak Korean BBQ Restaurant     98   

   Rating  Tips  
0     8.2    33  
( 38 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4f57625de4b0a4bae7120806  Super Star K Korean BBQ     54     8.3    20
( 39 / 105 ) processed
                         ID                                    Name  Likes  \
0  4e5e1aefe4cdfc603ed5c7c3  왕대박 Wang Dae Bak Korean BBQ Restaurant     98   

   Rating  Tips  
0     8.2    33  
( 40 / 105 ) processed
                         ID          Name  Likes  Rating  Tips
0  52a945c411d2c6d9b10b2c3a  Ju Shin Jung     28     6.8     7
( 41 / 105 ) processed
                         ID                      Name  Likes  Rating  Tips
0  4e07231a483b98d4170e8157  Hansik Korean Restaurant     27     7.4    18
( 42 / 105 ) processed
                         ID                      Name  Likes  Rating  Tips
0  4e07231a483b98d4170e8157  Hansik Korean Restaurant     27     7.4    18
( 43 / 105 ) processed
                         ID                                   Name  Likes  \
0  4f004859d3e364d5fcca30a7  Goki Day Korean BBQ Buffet Restaurant     13   

   Rating  Tips  
0     7.1     4  
( 44 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  5d1ec4335cbbb2002366cf03  Ajumma's      7     7.7     7
( 45 / 105 ) processed
                         ID       Name  Likes  Rating  Tips
0  57933e6d498e1f75f9f4955d  Chir Chir      5     7.2     6
( 46 / 105 ) processed
                         ID       Name  Likes  Rating  Tips
0  57933e6d498e1f75f9f4955d  Chir Chir      5     7.2     6
( 47 / 105 ) processed
                         ID                   Name  Likes  Rating  Tips
0  53881b77498e33f16c34889e  Oppa Korean Grill BBQ      9     6.6     4
( 48 / 105 ) processed
                         ID       Name  Likes  Rating  Tips
0  57933e6d498e1f75f9f4955d  Chir Chir      5     7.2     6
( 49 / 105 ) processed
                         ID                   Name  Likes  Rating  Tips
0  53881b77498e33f16c34889e  Oppa Korean Grill BBQ      9     6.6     4
( 50 / 105 ) processed
                         ID                  Name  Likes  Rating  Tips
0  59323a7a916bc1447767f975  Omoomo Food Concepts      6     7.1     3
( 51 / 105 ) processed
                         ID                  Name  Likes  Rating  Tips
0  59323a7a916bc1447767f975  Omoomo Food Concepts      6     7.1     3
( 52 / 105 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4bcbe7450687ef3b3f92decc  Doong Ji Korean Restaurant     29     7.2    27
( 53 / 105 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4bcbe7450687ef3b3f92decc  Doong Ji Korean Restaurant     29     7.2    27
( 54 / 105 ) processed
                         ID          Name  Likes  Rating  Tips
0  52a945c411d2c6d9b10b2c3a  Ju Shin Jung     28     6.8     7
( 55 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b70d58cf964a520ca302de3  Kim Dae Mun Korean Food     64     8.3    61
( 56 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  5d1ec4335cbbb2002366cf03  Ajumma's      7     7.7     7
( 57 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b70d58cf964a520ca302de3  Kim Dae Mun Korean Food     64     8.3    61
( 58 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b70d58cf964a520ca302de3  Kim Dae Mun Korean Food     64     8.3    61
( 59 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b70d58cf964a520ca302de3  Kim Dae Mun Korean Food     64     8.3    61
( 60 / 105 ) processed
                         ID                                  Name  Likes  \
0  539bda5c498ea6a82328fa17  Seoul Restaurant (Charcoal barbecue)     15   

   Rating  Tips  
0     8.0     7  
( 61 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4f57625de4b0a4bae7120806  Super Star K Korean BBQ     54     8.3    20
( 62 / 105 ) processed
                         ID                                    Name  Likes  \
0  4e5e1aefe4cdfc603ed5c7c3  왕대박 Wang Dae Bak Korean BBQ Restaurant     98   

   Rating  Tips  
0     8.2    33  
( 63 / 105 ) processed
                         ID                  Name  Likes  Rating  Tips
0  543e53f6498e8eacbba09d5e  Oven & Fried Chicken     65     7.8    28
( 64 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b70d58cf964a520ca302de3  Kim Dae Mun Korean Food     64     8.3    61
( 65 / 105 ) processed
                         ID              Name  Likes  Rating  Tips
0  57b838c3498e955a15a93e71  Chang Korean BBQ     14     7.8     3
( 66 / 105 ) processed
                         ID              Name  Likes  Rating  Tips
0  4b592290f964a520577e28e3  Chang Korean BBQ     26     5.8    20
( 67 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  51279816e4b0e4084477c34d  Wang Dae Bak Korean BBQ     71     8.1    23
( 68 / 105 ) processed
                         ID                                    Name  Likes  \
0  4e5e1aefe4cdfc603ed5c7c3  왕대박 Wang Dae Bak Korean BBQ Restaurant     98   

   Rating  Tips  
0     8.2    33  
( 69 / 105 ) processed
                         ID                  Name  Likes  Rating  Tips
0  543e53f6498e8eacbba09d5e  Oven & Fried Chicken     65     7.8    28
( 70 / 105 ) processed
                         ID                                    Name  Likes  \
0  4e5e1aefe4cdfc603ed5c7c3  왕대박 Wang Dae Bak Korean BBQ Restaurant     98   

   Rating  Tips  
0     8.2    33  
( 71 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  51279816e4b0e4084477c34d  Wang Dae Bak Korean BBQ     71     8.1    23
( 72 / 105 ) processed
                         ID         Name  Likes  Rating  Tips
0  528b5cee11d2eff2bb5cd4d5  Don Dae Bak     25     7.6     4
( 73 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4f57625de4b0a4bae7120806  Super Star K Korean BBQ     54     8.3    20
( 74 / 105 ) processed
                         ID         Name  Likes  Rating  Tips
0  528b5cee11d2eff2bb5cd4d5  Don Dae Bak     25     7.6     4
( 75 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  51279816e4b0e4084477c34d  Wang Dae Bak Korean BBQ     71     8.1    23
( 76 / 105 ) processed
                         ID                                    Name  Likes  \
0  4e5e1aefe4cdfc603ed5c7c3  왕대박 Wang Dae Bak Korean BBQ Restaurant     98   

   Rating  Tips  
0     8.2    33  
( 77 / 105 ) processed
                         ID       Name  Likes  Rating  Tips
0  4ec0a5c629c25ce5a25d2379  황 Hwang's     13     6.7    14
( 78 / 105 ) processed
                         ID     Name  Likes  Rating  Tips
0  5666c8a0498e92a6426490a5  chibing      5     6.7     2
( 79 / 105 ) processed
                         ID     Name  Likes  Rating  Tips
0  5666c8a0498e92a6426490a5  chibing      5     6.7     2
( 80 / 105 ) processed
                         ID          Name  Likes  Rating  Tips
0  53281e84498e4e312c042fb9  Sunny Korean      6     6.2     3
( 81 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  56e78dbf498e37fb5bd50da4  Hoodadak      4     5.9     2
( 82 / 105 ) processed
                         ID              Name  Likes  Rating  Tips
0  57b838c3498e955a15a93e71  Chang Korean BBQ     14     7.8     3
( 83 / 105 ) processed
                         ID              Name  Likes  Rating  Tips
0  4b592290f964a520577e28e3  Chang Korean BBQ     26     5.8    20
( 84 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  55c045ce498ef4ba12e8fd64  The Gogi      9     7.0    11
( 85 / 105 ) processed
                         ID       Name  Likes  Rating  Tips
0  4ec0a5c629c25ce5a25d2379  황 Hwang's     13     6.7    14
( 86 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b70d58cf964a520ca302de3  Kim Dae Mun Korean Food     64     8.3    61
( 87 / 105 ) processed
                         ID                                  Name  Likes  \
0  539bda5c498ea6a82328fa17  Seoul Restaurant (Charcoal barbecue)     15   

   Rating  Tips  
0     8.0     7  
( 88 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b70d58cf964a520ca302de3  Kim Dae Mun Korean Food     64     8.3    61
( 89 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b70d58cf964a520ca302de3  Kim Dae Mun Korean Food     64     8.3    61
( 90 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b70d58cf964a520ca302de3  Kim Dae Mun Korean Food     64     8.3    61
( 91 / 105 ) processed
                         ID                                   Name  Likes  \
0  4f004859d3e364d5fcca30a7  Goki Day Korean BBQ Buffet Restaurant     13   

   Rating  Tips  
0     7.1     4  
( 92 / 105 ) processed
                         ID          Name  Likes  Rating  Tips
0  50d2eee7e4b07de97871ad0a  Seoul Garden     16     7.0     7
( 93 / 105 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4e9024dc775bfdaabc346dd3  Hanwoori Korean Restaurant     21     6.4    18
( 94 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  5d1ec4335cbbb2002366cf03  Ajumma's      7     7.7     7
( 95 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  51279816e4b0e4084477c34d  Wang Dae Bak Korean BBQ     71     8.1    23
( 96 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  51279816e4b0e4084477c34d  Wang Dae Bak Korean BBQ     71     8.1    23
( 97 / 105 ) processed
                         ID      Name  Likes  Rating  Tips
0  5d1ec4335cbbb2002366cf03  Ajumma's      7     7.7     7
( 98 / 105 ) processed
                         ID                                  Name  Likes  \
0  539bda5c498ea6a82328fa17  Seoul Restaurant (Charcoal barbecue)     15   

   Rating  Tips  
0     8.0     7  
( 99 / 105 ) processed
                         ID                                  Name  Likes  \
0  539bda5c498ea6a82328fa17  Seoul Restaurant (Charcoal barbecue)     15   

   Rating  Tips  
0     8.0     7  
( 100 / 105 ) processed
                         ID              Name  Likes  Rating  Tips
0  57b838c3498e955a15a93e71  Chang Korean BBQ     14     7.8     3
( 101 / 105 ) processed
                         ID              Name  Likes  Rating  Tips
0  4b592290f964a520577e28e3  Chang Korean BBQ     26     5.8    20
( 102 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  51974bc5498e968daf58212f  Korean BBQ Buffet (KBB)      5     6.1     6
( 103 / 105 ) processed
                         ID                     Name  Likes  Rating  Tips
0  51974bc5498e968daf58212f  Korean BBQ Buffet (KBB)      5     6.1     6
( 104 / 105 ) processed
                         ID                      Name  Likes  Rating  Tips
0  4bd4219b77b29c7488289282  Parker Korean Restaurant     10     6.2    16
( 105 / 105 ) processed

korean_rest_stats_sg = korean_rest_stats_sg[(korean_rest_stats_sg['ID'] != 0)]
korean_rest_stats_sg

korean_rest_stats_sg['Likes'] = korean_rest_stats_sg['Likes'].astype('float64')
korean_rest_stats_sg['Tips'] = korean_rest_stats_sg['Tips'].astype('float64')
korean_rest_stats_sg.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 100 entries, 0 to 104
Data columns (total 6 columns):
 #   Column        Non-Null Count  Dtype  
---  ------        --------------  -----  
 0   Neighborhood  100 non-null    object 
 1   ID            100 non-null    object 
 2   Name          100 non-null    object 
 3   Likes         100 non-null    float64
 4   Rating        100 non-null    float64
 5   Tips          100 non-null    float64
dtypes: float64(3), object(3)
memory usage: 5.5+ KB

test = korean_rest_stats_sg.drop_duplicates(subset='ID', keep="first")

test.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 36 entries, 0 to 102
Data columns (total 6 columns):
 #   Column        Non-Null Count  Dtype  
---  ------        --------------  -----  
 0   Neighborhood  36 non-null     object 
 1   ID            36 non-null     object 
 2   Name          36 non-null     object 
 3   Likes         36 non-null     float64
 4   Rating        36 non-null     float64
 5   Tips          36 non-null     float64
dtypes: float64(3), object(3)
memory usage: 2.0+ KB

test.sort_values(by = ['Likes','Rating'],ascending = False)

From the above sorted dataframe, we can recommend someone who wants to have a good Korean meal to try out the first 5 in the list as they are very popular among the local communities in Singapore.

Next, we shall find out the Thai restaurants in Singapore using Foursquare API.

column_names = ['Neighborhood', 'ID','Name']
thai_rest = pd.DataFrame(columns=column_names)
count = 1
for row in df2.values.tolist():
    Area, Latitude, Longitude,Neighborhood, Population = row
    venues = get_venues(Latitude,Longitude)
    thai_resturants = venues[venues['Category'] == 'Thai Restaurant']   
    print('(',count,'/',len(df2),')','Thai Resturants in '+Neighborhood+', :'+str(len(thai_resturants)))
    for detail in thai_resturants.values.tolist():
        id, name , category = detail
        thai_rest = thai_rest.append({'Neighborhood': Neighborhood, 
                                                'ID': id,
                                                'Name' : name
                                               }, ignore_index = True)
    count+=1

( 1 / 270 ) Thai Resturants in Ang Mo Kio Town Centre, :1
( 2 / 270 ) Thai Resturants in Cheng San, :0
( 3 / 270 ) Thai Resturants in Chong Boon, :0
( 4 / 270 ) Thai Resturants in Kebun Bahru, :1
( 5 / 270 ) Thai Resturants in Sembawang Hills, :1
( 6 / 270 ) Thai Resturants in Shangri-La, :1
( 7 / 270 ) Thai Resturants in Tagore, :0
( 8 / 270 ) Thai Resturants in Townsville, :0
( 9 / 270 ) Thai Resturants in Yio Chu Kang, :1
( 10 / 270 ) Thai Resturants in Yio Chu Kang East, :1
( 11 / 270 ) Thai Resturants in Yio Chu Kang West, :1
( 12 / 270 ) Thai Resturants in Bayshore, :0
( 13 / 270 ) Thai Resturants in Bedok North, :1
( 14 / 270 ) Thai Resturants in Bedok Reservoir, :0
( 15 / 270 ) Thai Resturants in Bedok South, :0
( 16 / 270 ) Thai Resturants in Frankel, :0
( 17 / 270 ) Thai Resturants in Kaki Bukit, :0
( 18 / 270 ) Thai Resturants in Kembangan, :0
( 19 / 270 ) Thai Resturants in Siglap, :0
( 20 / 270 ) Thai Resturants in Bishan East, :4
( 21 / 270 ) Thai Resturants in Marymount, :5
( 22 / 270 ) Thai Resturants in Upper Thomson, :3
( 23 / 270 ) Thai Resturants in Samulun, :0
( 24 / 270 ) Thai Resturants in Tukang, :0
( 25 / 270 ) Thai Resturants in Bukit Batok Central, :0
( 26 / 270 ) Thai Resturants in Bukit Batok East, :0
( 27 / 270 ) Thai Resturants in Bukit Batok South, :0
( 28 / 270 ) Thai Resturants in Bukit Batok West, :0
( 29 / 270 ) Thai Resturants in Gombak, :0
( 30 / 270 ) Thai Resturants in Guilin, :0
( 31 / 270 ) Thai Resturants in Hillview, :0
( 32 / 270 ) Thai Resturants in Hong Kah North, :1
( 33 / 270 ) Thai Resturants in Alexandra Hill, :2
( 34 / 270 ) Thai Resturants in Alexandra North, :2
( 35 / 270 ) Thai Resturants in Bukit Ho Swee, :2
( 36 / 270 ) Thai Resturants in Bukit Merah, :0
( 37 / 270 ) Thai Resturants in City Terminals, :0
( 38 / 270 ) Thai Resturants in Depot Road, :0
( 39 / 270 ) Thai Resturants in Everton Park, :1
( 40 / 270 ) Thai Resturants in Henderson Hill, :0
( 41 / 270 ) Thai Resturants in Maritime Square, :1
( 42 / 270 ) Thai Resturants in Redhill, :0
( 43 / 270 ) Thai Resturants in Singapore General Hospital, :2
( 44 / 270 ) Thai Resturants in Telok Blangah Drive, :0
( 45 / 270 ) Thai Resturants in Telok Blangah Rise, :0
( 46 / 270 ) Thai Resturants in Telok Blangah Way, :0
( 47 / 270 ) Thai Resturants in Tiong Bahru, :2
( 48 / 270 ) Thai Resturants in Tiong Bahru Station, :2
( 49 / 270 ) Thai Resturants in Bangkit, :0
( 50 / 270 ) Thai Resturants in Dairy Farm, :0
( 51 / 270 ) Thai Resturants in Fajar, :0
( 52 / 270 ) Thai Resturants in Jelebu, :1
( 53 / 270 ) Thai Resturants in Nature Reserve, :0
( 54 / 270 ) Thai Resturants in Saujana, :0
( 55 / 270 ) Thai Resturants in Senja, :1
( 56 / 270 ) Thai Resturants in Anak Bukit, :4
( 57 / 270 ) Thai Resturants in Coronation Road, :2
( 58 / 270 ) Thai Resturants in Farrer Court, :0
( 59 / 270 ) Thai Resturants in Hillcrest, :0
( 60 / 270 ) Thai Resturants in Holland Road, :1
( 61 / 270 ) Thai Resturants in Leedon Park, :0
( 62 / 270 ) Thai Resturants in Swiss Club, :2
( 63 / 270 ) Thai Resturants in Ulu Pandan, :0
( 64 / 270 ) Thai Resturants in Central Water Catchment, :0
( 65 / 270 ) Thai Resturants in Changi Point, :0
( 66 / 270 ) Thai Resturants in Changi West, :0
( 67 / 270 ) Thai Resturants in Choa Chu Kang Central, :1
( 68 / 270 ) Thai Resturants in Choa Chu Kang North, :1
( 69 / 270 ) Thai Resturants in Keat Hong, :2
( 70 / 270 ) Thai Resturants in Teck Whye, :1
( 71 / 270 ) Thai Resturants in Yew Tee, :0
( 72 / 270 ) Thai Resturants in Clementi Central, :1
( 73 / 270 ) Thai Resturants in Clementi North, :1
( 74 / 270 ) Thai Resturants in Clementi West, :1
( 75 / 270 ) Thai Resturants in Clementi Woods, :1
( 76 / 270 ) Thai Resturants in Faber, :1
( 77 / 270 ) Thai Resturants in Pandan, :0
( 78 / 270 ) Thai Resturants in Sunset Way, :1
( 79 / 270 ) Thai Resturants in Toh Tuck, :0
( 80 / 270 ) Thai Resturants in West Coast, :1
( 81 / 270 ) Thai Resturants in Anson, :1
( 82 / 270 ) Thai Resturants in Bugis, :3
( 83 / 270 ) Thai Resturants in Cecil, :1
( 84 / 270 ) Thai Resturants in City Hall, :0
( 85 / 270 ) Thai Resturants in Marina Centre, :0
( 86 / 270 ) Thai Resturants in Raffles Place, :0
( 87 / 270 ) Thai Resturants in Tanjong Pagar, :1
( 88 / 270 ) Thai Resturants in Aljunied, :3
( 89 / 270 ) Thai Resturants in Geylang East, :1
( 90 / 270 ) Thai Resturants in Kallang Way, :0
( 91 / 270 ) Thai Resturants in Kampong Ubi, :1
( 92 / 270 ) Thai Resturants in Macpherson, :1
( 93 / 270 ) Thai Resturants in Defu Industrial Park, :1
( 94 / 270 ) Thai Resturants in Hougang Central, :1
( 95 / 270 ) Thai Resturants in Hougang East, :1
( 96 / 270 ) Thai Resturants in Hougang West, :1
( 97 / 270 ) Thai Resturants in Kangkar, :0
( 98 / 270 ) Thai Resturants in Kovan, :1
( 99 / 270 ) Thai Resturants in Lorong Ah Soo, :2
( 100 / 270 ) Thai Resturants in Tai Seng, :1
( 101 / 270 ) Thai Resturants in Trafalgar, :0
( 102 / 270 ) Thai Resturants in International Business Park, :0
( 103 / 270 ) Thai Resturants in Jurong Gateway, :0
( 104 / 270 ) Thai Resturants in Jurong Port, :0
( 105 / 270 ) Thai Resturants in Jurong River, :1
( 106 / 270 ) Thai Resturants in Lakeside, :1
( 107 / 270 ) Thai Resturants in Penjuru Crescent, :0
( 108 / 270 ) Thai Resturants in Teban Gardens, :0
( 109 / 270 ) Thai Resturants in Toh Guan, :0
( 110 / 270 ) Thai Resturants in Yuhua East, :0
( 111 / 270 ) Thai Resturants in Yuhua West, :0
( 112 / 270 ) Thai Resturants in Boon Lay Place, :0
( 113 / 270 ) Thai Resturants in Hong Kah, :1
( 114 / 270 ) Thai Resturants in Jurong West Central, :0
( 115 / 270 ) Thai Resturants in Kian Teck, :0
( 116 / 270 ) Thai Resturants in Taman Jurong, :0
( 117 / 270 ) Thai Resturants in Yunnan, :0
( 118 / 270 ) Thai Resturants in Bendemeer, :0
( 119 / 270 ) Thai Resturants in Boon Keng, :0
( 120 / 270 ) Thai Resturants in Crawford, :6
( 121 / 270 ) Thai Resturants in Geylang Bahru, :1
( 122 / 270 ) Thai Resturants in Kallang Bahru, :0
( 123 / 270 ) Thai Resturants in Kampong Bugis, :5
( 124 / 270 ) Thai Resturants in Kampong Java, :3
( 125 / 270 ) Thai Resturants in Lavender, :6
( 126 / 270 ) Thai Resturants in Tanjong Rhu, :1
( 127 / 270 ) Thai Resturants in Lim Chu Kang, :0
( 128 / 270 ) Thai Resturants in Mandai Estate, :0
( 129 / 270 ) Thai Resturants in Katong, :0
( 130 / 270 ) Thai Resturants in Marine Parade, :0
( 131 / 270 ) Thai Resturants in Mountbatten, :2
( 132 / 270 ) Thai Resturants in Bras Basah, :0
( 133 / 270 ) Thai Resturants in Dhoby Ghaut, :0
( 134 / 270 ) Thai Resturants in Fort Canning, :1
( 135 / 270 ) Thai Resturants in Cairnhill, :1
( 136 / 270 ) Thai Resturants in Goodwood Park, :1
( 137 / 270 ) Thai Resturants in Monk's Hill, :2
( 138 / 270 ) Thai Resturants in Newton Circus, :5
( 139 / 270 ) Thai Resturants in Orange Grove, :0
( 140 / 270 ) Thai Resturants in North-Eastern Islands, :0
( 141 / 270 ) Thai Resturants in Balestier, :2
( 142 / 270 ) Thai Resturants in Dunearn, :0
( 143 / 270 ) Thai Resturants in Malcolm, :0
( 144 / 270 ) Thai Resturants in Moulmein, :1
( 145 / 270 ) Thai Resturants in Mount Pleasant, :0
( 146 / 270 ) Thai Resturants in Boulevard, :1
( 147 / 270 ) Thai Resturants in Somerset, :0
( 148 / 270 ) Thai Resturants in Tanglin, :3
( 149 / 270 ) Thai Resturants in China Square, :0
( 150 / 270 ) Thai Resturants in Chinatown, :0
( 151 / 270 ) Thai Resturants in Pearl's Hill, :1
( 152 / 270 ) Thai Resturants in People's Park, :0
( 153 / 270 ) Thai Resturants in Flora Drive, :0
( 154 / 270 ) Thai Resturants in Loyang East, :0
( 155 / 270 ) Thai Resturants in Loyang West, :0
( 156 / 270 ) Thai Resturants in Pasir Ris Central, :1
( 157 / 270 ) Thai Resturants in Pasir Ris Drive, :1
( 158 / 270 ) Thai Resturants in Pasir Ris Park, :2
( 159 / 270 ) Thai Resturants in Pasir Ris West, :1
( 160 / 270 ) Thai Resturants in Paya Lebar East, :2
( 161 / 270 ) Thai Resturants in Paya Lebar North, :2
( 162 / 270 ) Thai Resturants in Gul Circle, :0
( 163 / 270 ) Thai Resturants in Joo Koon, :0
( 164 / 270 ) Thai Resturants in Matilda, :0
( 165 / 270 ) Thai Resturants in Northshore, :0
( 166 / 270 ) Thai Resturants in Punggol Field, :0
( 167 / 270 ) Thai Resturants in Punggol Town Centre, :0
( 168 / 270 ) Thai Resturants in Waterway East, :0
( 169 / 270 ) Thai Resturants in Commonwealth, :0
( 170 / 270 ) Thai Resturants in Dover, :1
( 171 / 270 ) Thai Resturants in Ghim Moh, :1
( 172 / 270 ) Thai Resturants in Holland Drive, :0
( 173 / 270 ) Thai Resturants in Kent Ridge, :1
( 174 / 270 ) Thai Resturants in Margaret Drive, :0
( 175 / 270 ) Thai Resturants in Mei Chin, :1
( 176 / 270 ) Thai Resturants in One North, :0
( 177 / 270 ) Thai Resturants in Pasir Panjang 1, :2
( 178 / 270 ) Thai Resturants in Pasir Panjang 2, :2
( 179 / 270 ) Thai Resturants in Port, :0
( 180 / 270 ) Thai Resturants in Queensway, :0
( 181 / 270 ) Thai Resturants in Singapore Polytechnic, :1
( 182 / 270 ) Thai Resturants in Tanglin Halt, :0
( 183 / 270 ) Thai Resturants in Institution Hill, :0
( 184 / 270 ) Thai Resturants in Leonie Hill, :0
( 185 / 270 ) Thai Resturants in One Tree Hill, :0
( 186 / 270 ) Thai Resturants in Oxley, :0
( 187 / 270 ) Thai Resturants in Paterson, :0
( 188 / 270 ) Thai Resturants in Bencoolen, :0
( 189 / 270 ) Thai Resturants in Farrer Park, :0
( 190 / 270 ) Thai Resturants in Kampong Glam, :7
( 191 / 270 ) Thai Resturants in Little India, :0
( 192 / 270 ) Thai Resturants in Mackenzie, :0
( 193 / 270 ) Thai Resturants in Mount Emily, :0
( 194 / 270 ) Thai Resturants in Rochor Canal, :5
( 195 / 270 ) Thai Resturants in Selegie, :0
( 196 / 270 ) Thai Resturants in Sungei Road, :3
( 197 / 270 ) Thai Resturants in Victoria, :1
( 198 / 270 ) Thai Resturants in Seletar, :0
( 199 / 270 ) Thai Resturants in Seletar Aerospace Park, :0
( 200 / 270 ) Thai Resturants in Admiralty, :0
( 201 / 270 ) Thai Resturants in Sembawang Central, :1
( 202 / 270 ) Thai Resturants in Sembawang East, :1
( 203 / 270 ) Thai Resturants in Sembawang North, :1
( 204 / 270 ) Thai Resturants in Sembawang Springs, :1
( 205 / 270 ) Thai Resturants in Sembawang Straits, :0
( 206 / 270 ) Thai Resturants in Senoko North, :0
( 207 / 270 ) Thai Resturants in Senoko South, :0
( 208 / 270 ) Thai Resturants in Anchorvale, :0
( 209 / 270 ) Thai Resturants in Compassvale, :0
( 210 / 270 ) Thai Resturants in Fernvale, :3
( 211 / 270 ) Thai Resturants in Rivervale, :0
( 212 / 270 ) Thai Resturants in Sengkang Town Centre, :0
( 213 / 270 ) Thai Resturants in Sengkang West, :0
( 214 / 270 ) Thai Resturants in Lorong Chuan, :0
( 215 / 270 ) Thai Resturants in Seletar Hills, :1
( 216 / 270 ) Thai Resturants in Serangoon Central, :1
( 217 / 270 ) Thai Resturants in Serangoon Garden, :1
( 218 / 270 ) Thai Resturants in Serangoon North, :0
( 219 / 270 ) Thai Resturants in Upper Paya Lebar, :2
( 220 / 270 ) Thai Resturants in Boat Quay, :0
( 221 / 270 ) Thai Resturants in Clarke Quay, :0
( 222 / 270 ) Thai Resturants in Robertson Quay, :1
( 223 / 270 ) Thai Resturants in Sentosa, :1
( 224 / 270 ) Thai Resturants in Gali Batu, :0
( 225 / 270 ) Thai Resturants in Kranji, :0
( 226 / 270 ) Thai Resturants in Pang Sua, :0
( 227 / 270 ) Thai Resturants in Reservoir View, :0
( 228 / 270 ) Thai Resturants in Turf Club, :0
( 229 / 270 ) Thai Resturants in Simei, :0
( 230 / 270 ) Thai Resturants in Tampines East, :0
( 231 / 270 ) Thai Resturants in Tampines West, :3
( 232 / 270 ) Thai Resturants in Xilin, :1
( 233 / 270 ) Thai Resturants in Chatsworth, :0
( 234 / 270 ) Thai Resturants in Nassim, :1
( 235 / 270 ) Thai Resturants in Ridout, :1
( 236 / 270 ) Thai Resturants in Tyersall, :3
( 237 / 270 ) Thai Resturants in Tengah, :0
( 238 / 270 ) Thai Resturants in Bidadari, :0
( 239 / 270 ) Thai Resturants in Boon Teck, :0
( 240 / 270 ) Thai Resturants in Braddell, :3
( 241 / 270 ) Thai Resturants in Joo Seng, :1
( 242 / 270 ) Thai Resturants in Kim Keat, :1
( 243 / 270 ) Thai Resturants in Lorong 8 Toa Payoh, :2
( 244 / 270 ) Thai Resturants in Pei Chun, :0
( 245 / 270 ) Thai Resturants in Potong Pasir, :0
( 246 / 270 ) Thai Resturants in Sennett, :1
( 247 / 270 ) Thai Resturants in Toa Payoh Central, :1
( 248 / 270 ) Thai Resturants in Toa Payoh West, :0
( 249 / 270 ) Thai Resturants in Woodleigh, :0
( 250 / 270 ) Thai Resturants in Tuas Bay, :0
( 251 / 270 ) Thai Resturants in Tuas North, :0
( 252 / 270 ) Thai Resturants in Tuas View, :0
( 253 / 270 ) Thai Resturants in Western Water Catchment, :0
( 254 / 270 ) Thai Resturants in Greenwood Park, :2
( 255 / 270 ) Thai Resturants in Midview, :4
( 256 / 270 ) Thai Resturants in North Coast, :0
( 257 / 270 ) Thai Resturants in Senoko West, :0
( 258 / 270 ) Thai Resturants in Woodgrove, :1
( 259 / 270 ) Thai Resturants in Woodlands East, :2
( 260 / 270 ) Thai Resturants in Woodlands South, :0
( 261 / 270 ) Thai Resturants in Woodlands West, :2
( 262 / 270 ) Thai Resturants in Khatib, :1
( 263 / 270 ) Thai Resturants in Lower Seletar, :0
( 264 / 270 ) Thai Resturants in Nee Soon, :3
( 265 / 270 ) Thai Resturants in Northland, :1
( 266 / 270 ) Thai Resturants in Springleaf, :3
( 267 / 270 ) Thai Resturants in Yishun Central, :1
( 268 / 270 ) Thai Resturants in Yishun East, :4
( 269 / 270 ) Thai Resturants in Yishun South, :4
( 270 / 270 ) Thai Resturants in Yishun West, :4

thai_rest.head()

thai_rest.shape

(221, 3)

column_names = ['Neighborhood', 'ID','Name','Likes','Rating','Tips']
thai_rest_stats_sg = pd.DataFrame(columns = column_names)
count = 1

for row in thai_rest.values.tolist():
    Neighborhood,ID,Name = row
    try:
        venue_details = get_venue_details(ID)
        print(venue_details)
        id,name,likes,rating,tips = venue_details.values.tolist()[0]
    except IndexError:
        print('No data available for id =',ID)
        id,name,likes,rating,tips = [0]*5
    print('(',count,'/',len(thai_rest),')','processed')
    thai_rest_stats_sg = thai_rest_stats_sg.append({
                                                'Neighborhood': Neighborhood, 
                                                'ID': id,
                                                'Name' : name,
                                                'Likes' : likes,
                                                'Rating' : rating,
                                                'Tips' : tips
                                               }, ignore_index = True)
    count+=1

                         ID                        Name  Likes  Rating  Tips
0  51243f60e4b02ffb6a43eeea  Soi 19 十九街 Thai Wanton Mee     40     6.5    25
( 1 / 221 ) processed
                         ID                             Name  Likes  Rating  \
0  5a1e3ebf3149b9447be1aec5  Carabao Thai Restaurant Stulang      6     7.4   

   Tips  
0    13  
( 2 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 4f712a2be4b09e60f82d8389
( 3 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  56cee098498e2f5c99b54a8d  Kra Pow Thai Street Food     12     7.8    16
( 4 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  51243f60e4b02ffb6a43eeea  Soi 19 十九街 Thai Wanton Mee     40     6.5    25
( 5 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  51243f60e4b02ffb6a43eeea  Soi 19 十九街 Thai Wanton Mee     40     6.5    25
( 6 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  51243f60e4b02ffb6a43eeea  Soi 19 十九街 Thai Wanton Mee     40     6.5    25
( 7 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 4d3a4694beb7b1f723e7e771
( 8 / 221 ) processed
                         ID      Name  Likes  Rating  Tips
0  4b36df8bf964a520ab3d25e3  Jai Thai     52     7.1    61
( 9 / 221 ) processed
                         ID                  Name  Likes  Rating  Tips
0  4d9476735241a1cd39815f4b  Mata Thai Restaurant     15     6.0    34
( 10 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  50fa92bfe4b04cffec4dbfd5  Aroy Mookata      5     5.8     2
( 11 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 56e8acde498edce4fd18437b
( 12 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  587a1563561ded2967529265  Tomyum Mama     16     8.7     7
( 13 / 221 ) processed
                         ID      Name  Likes  Rating  Tips
0  4b36df8bf964a520ab3d25e3  Jai Thai     52     7.1    61
( 14 / 221 ) processed
                         ID                Name  Likes  Rating  Tips
0  4c1a0400838020a1cd83e661  E-Sarn Thai Corner     21     7.3    19
( 15 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  549980c0498eb47afc9ae507  Thai in Town      7     6.0     9
( 16 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  50fa92bfe4b04cffec4dbfd5  Aroy Mookata      5     5.8     2
( 17 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  587a1563561ded2967529265  Tomyum Mama     16     8.7     7
( 18 / 221 ) processed
                         ID                Name  Likes  Rating  Tips
0  4c1a0400838020a1cd83e661  E-Sarn Thai Corner     21     7.3    19
( 19 / 221 ) processed
                         ID                          Name  Likes  Rating  Tips
0  5602a497498eeb82cd6918ab  Taste of Thailand (Original)      9     7.5     3
( 20 / 221 ) processed
                         ID                    Name  Likes  Rating  Tips
0  5479a984498e141c4cce0b3b  Bangkok Street Mookata     17     7.5     4
( 21 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  5436696c498e33113d456016  #87 Just Thai     53     8.1    10
( 22 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4d5fabbe196ba09365761056  Joe's Kitchen Thai Cuisine     26     7.1    17
( 23 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  5436696c498e33113d456016  #87 Just Thai     53     8.1    10
( 24 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4d5fabbe196ba09365761056  Joe's Kitchen Thai Cuisine     26     7.1    17
( 25 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  5b25206195d986002c246edb  Little Elephant      6     8.3     3
( 26 / 221 ) processed
                         ID     Name  Likes  Rating  Tips
0  4ba8b7cef964a5205ee939e3  Go Thai      1     7.0    11
( 27 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  4c345b95a0ced13aaffa176e  Issan Thai Food      9     8.1     7
( 28 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4c87825d51ada1cd61424810  Thaksin Beef Noodle     16     6.6    13
( 29 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  5b25206195d986002c246edb  Little Elephant      6     8.3     3
( 30 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  4c345b95a0ced13aaffa176e  Issan Thai Food      9     8.1     7
( 31 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  5b25206195d986002c246edb  Little Elephant      6     8.3     3
( 32 / 221 ) processed
                         ID     Name  Likes  Rating  Tips
0  4ba8b7cef964a5205ee939e3  Go Thai      1     7.0    11
( 33 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  5b25206195d986002c246edb  Little Elephant      6     8.3     3
( 34 / 221 ) processed
                         ID     Name  Likes  Rating  Tips
0  4ba8b7cef964a5205ee939e3  Go Thai      1     7.0    11
( 35 / 221 ) processed
                         ID                          Name  Likes  Rating  Tips
0  53749f67498ebf1a4f44c65b  Rasa Rasa Seafood Restaurant      5     6.8     0
( 36 / 221 ) processed
                         ID                          Name  Likes  Rating  Tips
0  53749f67498ebf1a4f44c65b  Rasa Rasa Seafood Restaurant      5     6.8     0
( 37 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  4daec6304b229076786d5ffa  Tasty Thai Hut      5     6.8     3
( 38 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  4ce7f13bf86537045009adc4  HotSpice Thai Cuisine      4     6.8     7
( 39 / 221 ) processed
                         ID                           Name  Likes  Rating  \
0  5a69b465a0215b2c2b56e65b  Royal Thai Boat Noodles & Bar      4     6.2   

   Tips  
0     4  
( 40 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  59959121bfc6d06a2950f0fb  Time For Thai      2     5.8     3
( 41 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  4b583420f964a520e44d28e3  Thai Noodle House      7     6.1    27
( 42 / 221 ) processed
                         ID        Name  Likes  Rating  Tips
0  4ba45952f964a520bc9738e3  Le Wu Café     10     6.0     9
( 43 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  5290292e498e7949ebfc62d4  Sala Thai Kitchen      6     6.3     3
( 44 / 221 ) processed
                         ID        Name  Likes  Rating  Tips
0  51df898a498e56e0e64c5409  Royal Thai     13     8.0     7
( 45 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  51fcb12b498e46f224c79217  E-Sarn Thai Cuisine     16     6.7     7
( 46 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  4bada046f964a520c75f3be3  Siam Kitchen      9     6.7     8
( 47 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  4bada046f964a520c75f3be3  Siam Kitchen      9     6.7     8
( 48 / 221 ) processed
                         ID                          Name  Likes  Rating  Tips
0  53749f67498ebf1a4f44c65b  Rasa Rasa Seafood Restaurant      5     6.8     0
( 49 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  4bada046f964a520c75f3be3  Siam Kitchen      9     6.7     8
( 50 / 221 ) processed
                         ID                          Name  Likes  Rating  Tips
0  53749f67498ebf1a4f44c65b  Rasa Rasa Seafood Restaurant      5     6.8     0
( 51 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4b72520ff964a520ae772de3  Thaksin Beef Noodle      8     7.0     4
( 52 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4b72520ff964a520ae772de3  Thaksin Beef Noodle      8     7.0     4
( 53 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4b72520ff964a520ae772de3  Thaksin Beef Noodle      8     7.0     4
( 54 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 594f3ea359fe5c1c5d3cf7f1
( 55 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4c87825d51ada1cd61424810  Thaksin Beef Noodle     16     6.6    13
( 56 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  5017a98de4b02848f719002c  Thai Express     10     5.5     7
( 57 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 594f3ea359fe5c1c5d3cf7f1
( 58 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  4c345b95a0ced13aaffa176e  Issan Thai Food      9     8.1     7
( 59 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  5809abe738fab1dc497bd39f  Ah Loy Thai     29     8.1    12
( 60 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  59c4fd028134883ec2ee1aef  Sticky Rice      4     8.0     2
( 61 / 221 ) processed
                         ID      Name  Likes  Rating  Tips
0  4cb0535d562d224b303b1588  Jai Thai     68     7.6    64
( 62 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  4c345b95a0ced13aaffa176e  Issan Thai Food      9     8.1     7
( 63 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  4c345b95a0ced13aaffa176e  Issan Thai Food      9     8.1     7
( 64 / 221 ) processed
                         ID                            Name  Likes  Rating  \
0  4b6432ecf964a520b4a32ae3  Thai Delights @ Lor 12 Geylang      8     7.2   

   Tips  
0     4  
( 65 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  53021f91498e6d3419a15817  Mae Toi Thai Food      5     6.7     1
( 66 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  5cc592425d891b002ceee10b  Gu Thai House      2     5.8     5
( 67 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  585376d72eb979557cf6b5f1  Lotus Thai Restaurant      4     6.3     2
( 68 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  5af6cc863abcaf002cd0a0a3  Took Lae Dee      4     6.3     5
( 69 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  585376d72eb979557cf6b5f1  Lotus Thai Restaurant      4     6.3     2
( 70 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  4bc44c65abf4952126cfc493  Nakhon Kitchen     93     8.1   108
( 71 / 221 ) processed
                         ID                       Name  Likes  Rating  Tips
0  5960a89b9be5224b9b83c056  Tiew Mai Thai Boat Noodle      8     7.4     5
( 72 / 221 ) processed
                         ID                       Name  Likes  Rating  Tips
0  5960a89b9be5224b9b83c056  Tiew Mai Thai Boat Noodle      8     7.4     5
( 73 / 221 ) processed
                         ID                       Name  Likes  Rating  Tips
0  5960a89b9be5224b9b83c056  Tiew Mai Thai Boat Noodle      8     7.4     5
( 74 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  4bc44c65abf4952126cfc493  Nakhon Kitchen     93     8.1   108
( 75 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  4bc44c65abf4952126cfc493  Nakhon Kitchen     93     8.1   108
( 76 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  54b660d4498e91db7c94be34  Yaowarat Seafood      8     6.9     5
( 77 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  5af6cc863abcaf002cd0a0a3  Took Lae Dee      4     6.3     5
( 78 / 221 ) processed
                         ID                    Name  Likes  Rating  Tips
0  5479a984498e141c4cce0b3b  Bangkok Street Mookata     17     7.5     4
( 79 / 221 ) processed
                         ID                    Name  Likes  Rating  Tips
0  5479a984498e141c4cce0b3b  Bangkok Street Mookata     17     7.5     4
( 80 / 221 ) processed
                         ID                    Name  Likes  Rating  Tips
0  5479a984498e141c4cce0b3b  Bangkok Street Mookata     17     7.5     4
( 81 / 221 ) processed
                         ID                                Name  Likes  \
0  4d075aaa26adb1f72e41e170  New Udon Thai Food (BBQ Steamboat)     45   

   Rating  Tips  
0     8.1    22  
( 82 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4c2d68bee760c9b63af24449  Beer Thai House Restaurant     82     8.2    37
( 83 / 221 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4bc4c1a0461576b005678032  Nana Original Thai Food     56     8.0    28
( 84 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  5837c4776e60752e1df5797c  Thai-Thai Kitchen     13     8.1     3
( 85 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4bdad5072a3a0f47af27acb6  Nongkhai หนองคาย 隆开     22     7.7    25
( 86 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  59c4fd028134883ec2ee1aef  Sticky Rice      4     8.0     2
( 87 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 5cb2b4e12aff31002c185cab
( 88 / 221 ) processed
                         ID                                Name  Likes  \
0  4d075aaa26adb1f72e41e170  New Udon Thai Food (BBQ Steamboat)     45   

   Rating  Tips  
0     8.1    22  
( 89 / 221 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4bc4c1a0461576b005678032  Nana Original Thai Food     56     8.0    28
( 90 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4c2d68bee760c9b63af24449  Beer Thai House Restaurant     82     8.2    37
( 91 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4bdad5072a3a0f47af27acb6  Nongkhai หนองคาย 隆开     22     7.7    25
( 92 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  5837c4776e60752e1df5797c  Thai-Thai Kitchen     13     8.1     3
( 93 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  4be563532468c928c2efff42  Bangkok Express      8     7.4     9
( 94 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  579dac11498ef4fbf0684d8b  A-Roy Thai Restaurant     13     6.8     7
( 95 / 221 ) processed
                         ID       Name  Likes  Rating  Tips
0  5aa4c1aa6fa81f2f6c9718b7  Baan Ying      6     6.5    19
( 96 / 221 ) processed
                         ID                                Name  Likes  \
0  4d075aaa26adb1f72e41e170  New Udon Thai Food (BBQ Steamboat)     45   

   Rating  Tips  
0     8.1    22  
( 97 / 221 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4bc4c1a0461576b005678032  Nana Original Thai Food     56     8.0    28
( 98 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4c2d68bee760c9b63af24449  Beer Thai House Restaurant     82     8.2    37
( 99 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  5837c4776e60752e1df5797c  Thai-Thai Kitchen     13     8.1     3
( 100 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4bdad5072a3a0f47af27acb6  Nongkhai หนองคาย 隆开     22     7.7    25
( 101 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  59c4fd028134883ec2ee1aef  Sticky Rice      4     8.0     2
( 102 / 221 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4b655d2af964a52083ee2ae3  Thai Village Restaurant     17     7.1     4
( 103 / 221 ) processed
                         ID                            Name  Likes  Rating  \
0  4b6432ecf964a520b4a32ae3  Thai Delights @ Lor 12 Geylang      8     7.2   

   Tips  
0     4  
( 104 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  53021f91498e6d3419a15817  Mae Toi Thai Food      5     6.7     1
( 105 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  5b2f272b8496ca002c9e2935  Un-Yang-Kor-Dai      6     8.1     3
( 106 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  56cee098498e2f5c99b54a8d  Kra Pow Thai Street Food     12     7.8    16
( 107 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  56cee098498e2f5c99b54a8d  Kra Pow Thai Street Food     12     7.8    16
( 108 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  4be563532468c928c2efff42  Bangkok Express      8     7.4     9
( 109 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  56cee098498e2f5c99b54a8d  Kra Pow Thai Street Food     12     7.8    16
( 110 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  4be563532468c928c2efff42  Bangkok Express      8     7.4     9
( 111 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  56cee098498e2f5c99b54a8d  Kra Pow Thai Street Food     12     7.8    16
( 112 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  579dac11498ef4fbf0684d8b  A-Roy Thai Restaurant     13     6.8     7
( 113 / 221 ) processed
                         ID       Name  Likes  Rating  Tips
0  5aa4c1aa6fa81f2f6c9718b7  Baan Ying      6     6.5    19
( 114 / 221 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4d1862076d10370427723ebd  Thai Village Restaurant     15     6.0    11
( 115 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  579dac11498ef4fbf0684d8b  A-Roy Thai Restaurant     13     6.8     7
( 116 / 221 ) processed
                         ID       Name  Likes  Rating  Tips
0  5aa4c1aa6fa81f2f6c9718b7  Baan Ying      6     6.5    19
( 117 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  579dac11498ef4fbf0684d8b  A-Roy Thai Restaurant     13     6.8     7
( 118 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  4c345b95a0ced13aaffa176e  Issan Thai Food      9     8.1     7
( 119 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  4baeeb0ef964a520bfe13be3  Jim Thompson     93     7.6    38
( 120 / 221 ) processed
                         ID                    Name  Likes  Rating  Tips
0  4b0cde52f964a5204f4223e3  Tawandang Microbrewery     59     6.3    52
( 121 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  4b058813f964a5204db022e3  Patara Fine Thai Cuisine     25     6.3    20
( 122 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  5b25206195d986002c246edb  Little Elephant      6     8.3     3
( 123 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  4d05bc01a2685481707ebebd  The Basil Inn     30     7.1    22
( 124 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  4d05bc01a2685481707ebebd  The Basil Inn     30     7.1    22
( 125 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  4d05bc01a2685481707ebebd  The Basil Inn     30     7.1    22
( 126 / 221 ) processed
                         ID                  Name  Likes  Rating  Tips
0  4d564ecae7f1a1cd2c0305a5  Magic Wok Restaurant      5     6.1    23
( 127 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  4d05bc01a2685481707ebebd  The Basil Inn     30     7.1    22
( 128 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  585376d72eb979557cf6b5f1  Lotus Thai Restaurant      4     6.3     2
( 129 / 221 ) processed
                         ID                                           Name  \
0  504da249e4b04a78b07b80dc  Sri Bistari Changi Village Famous Ayam Penyet   

   Likes  Rating  Tips  
0      5     6.8     2  
( 130 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  585376d72eb979557cf6b5f1  Lotus Thai Restaurant      4     6.3     2
( 131 / 221 ) processed
                         ID                                           Name  \
0  504da249e4b04a78b07b80dc  Sri Bistari Changi Village Famous Ayam Penyet   

   Likes  Rating  Tips  
0      5     6.8     2  
( 132 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4b83c01af964a520130f31e3  E-Sarn Thai Cuisine      8     7.8    15
( 133 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  5290292e498e7949ebfc62d4  Sala Thai Kitchen      6     6.3     3
( 134 / 221 ) processed
                         ID                         Name  Likes  Rating  Tips
0  56aae05b498efacbe702fb1d  The Red Noodle & Bottle Bar      5     5.7     2
( 135 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4d5fabbe196ba09365761056  Joe's Kitchen Thai Cuisine     26     7.1    17
( 136 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  5436696c498e33113d456016  #87 Just Thai     53     8.1    10
( 137 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4c3d6c2a15cb1b8deef37bdc  E-Sarn Thai Cuisine     43     7.4    39
( 138 / 221 ) processed
                         ID           Name  Likes  Rating  Tips
0  5436696c498e33113d456016  #87 Just Thai     53     8.1    10
( 139 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4c3d6c2a15cb1b8deef37bdc  E-Sarn Thai Cuisine     43     7.4    39
( 140 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4b83c01af964a520130f31e3  E-Sarn Thai Cuisine      8     7.8    15
( 141 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  5837c4776e60752e1df5797c  Thai-Thai Kitchen     13     8.1     3
( 142 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  59c4fd028134883ec2ee1aef  Sticky Rice      4     8.0     2
( 143 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  5809abe738fab1dc497bd39f  Ah Loy Thai     29     8.1    12
( 144 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4c2d68bee760c9b63af24449  Beer Thai House Restaurant     82     8.2    37
( 145 / 221 ) processed
                         ID                                Name  Likes  \
0  4d075aaa26adb1f72e41e170  New Udon Thai Food (BBQ Steamboat)     45   

   Rating  Tips  
0     8.1    22  
( 146 / 221 ) processed
                         ID                     Name  Likes  Rating  Tips
0  4bc4c1a0461576b005678032  Nana Original Thai Food     56     8.0    28
( 147 / 221 ) processed
                         ID                 Name  Likes  Rating  Tips
0  4bdad5072a3a0f47af27acb6  Nongkhai หนองคาย 隆开     22     7.7    25
( 148 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  59c4fd028134883ec2ee1aef  Sticky Rice      4     8.0     2
( 149 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  5837c4776e60752e1df5797c  Thai-Thai Kitchen     13     8.1     3
( 150 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  5809abe738fab1dc497bd39f  Ah Loy Thai     29     8.1    12
( 151 / 221 ) processed
                         ID                        Name  Likes  Rating  Tips
0  4c2d68bee760c9b63af24449  Beer Thai House Restaurant     82     8.2    37
( 152 / 221 ) processed
                         ID                                Name  Likes  \
0  4d075aaa26adb1f72e41e170  New Udon Thai Food (BBQ Steamboat)     45   

   Rating  Tips  
0     8.1    22  
( 153 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  59c4fd028134883ec2ee1aef  Sticky Rice      4     8.0     2
( 154 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  5837c4776e60752e1df5797c  Thai-Thai Kitchen     13     8.1     3
( 155 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  5809abe738fab1dc497bd39f  Ah Loy Thai     29     8.1    12
( 156 / 221 ) processed
                         ID     Name  Likes  Rating  Tips
0  4ccc0d917c2ff04df64c967e  ThaiPan     18     6.8    27
( 157 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  54705d4a498e8876c2694262  JJ Thai Cuisine     18     7.6    11
( 158 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  54705d4a498e8876c2694262  JJ Thai Cuisine     18     7.6    11
( 159 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  54705d4a498e8876c2694262  JJ Thai Cuisine     18     7.6    11
( 160 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  54705d4a498e8876c2694262  JJ Thai Cuisine     18     7.6    11
( 161 / 221 ) processed
                         ID      Name  Likes  Rating  Tips
0  53fddb3e498e8b37594a775b  BALIThai      5     6.1     3
( 162 / 221 ) processed
                         ID      Name  Likes  Rating  Tips
0  4f376297e4b0d26ba1011e6d  Mai Thai      8     6.6     7
( 163 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 56bb234a498e2b0c47790260
( 164 / 221 ) processed
                         ID      Name  Likes  Rating  Tips
0  4f376297e4b0d26ba1011e6d  Mai Thai      8     6.6     7
( 165 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  54b660d4498e91db7c94be34  Yaowarat Seafood      8     6.9     5
( 166 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  5762376f498ed59f67f9791a  Soi Thai Kitchen     14     6.6     6
( 167 / 221 ) processed
                         ID                   Name  Likes  Rating  Tips
0  585376d72eb979557cf6b5f1  Lotus Thai Restaurant      4     6.3     2
( 168 / 221 ) processed
                         ID                                           Name  \
0  504da249e4b04a78b07b80dc  Sri Bistari Changi Village Famous Ayam Penyet   

   Likes  Rating  Tips  
0      5     6.8     2  
( 169 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  5b25206195d986002c246edb  Little Elephant      6     8.3     3
( 170 / 221 ) processed
                         ID             Name  Likes  Rating  Tips
0  56dec434cd1095d757cbc5a0  Gin Khao Bistro      4     6.1     4
( 171 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  5b2b292c3af988002ced398c  Nakhon Kitchen     10     8.1     3
( 172 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  4fddad68e4b049c33bd0d6ff  Soi Thai Kitchen     38     7.5    21
( 173 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  58351cb823188e7d9dc4d76d  Saap Saap Thai      9     6.6     5
( 174 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  5ac710e379f6c74413fedcf2  The Original Boat Noodle      6     6.5     2
( 175 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  4baeeb0ef964a520bfe13be3  Jim Thompson     93     7.6    38
( 176 / 221 ) processed
                         ID                    Name  Likes  Rating  Tips
0  4b0cde52f964a5204f4223e3  Tawandang Microbrewery     59     6.3    52
( 177 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  4baeeb0ef964a520bfe13be3  Jim Thompson     93     7.6    38
( 178 / 221 ) processed
                         ID                    Name  Likes  Rating  Tips
0  4b0cde52f964a5204f4223e3  Tawandang Microbrewery     59     6.3    52
( 179 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  4b058813f964a5204db022e3  Patara Fine Thai Cuisine     25     6.3    20
( 180 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  5917e9592bf9a936dec6c9a9  Soi 47 Thai Food      8     6.5     6
( 181 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  50fa92bfe4b04cffec4dbfd5  Aroy Mookata      5     5.8     2
( 182 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  4c1df1978b3aa59339579b5f  Wang Thai Kitchen (旺泰小橱)      3     5.5     7
( 183 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  5af6cc863abcaf002cd0a0a3  Took Lae Dee      4     6.3     5
( 184 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  5917e9592bf9a936dec6c9a9  Soi 47 Thai Food      8     6.5     6
( 185 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  5917e9592bf9a936dec6c9a9  Soi 47 Thai Food      8     6.5     6
( 186 / 221 ) processed
                         ID                      Name  Likes  Rating  Tips
0  4c1df1978b3aa59339579b5f  Wang Thai Kitchen (旺泰小橱)      3     5.5     7
( 187 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 5cb2b4e12aff31002c185cab
( 188 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  5917e9592bf9a936dec6c9a9  Soi 47 Thai Food      8     6.5     6
( 189 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  4fddad68e4b049c33bd0d6ff  Soi Thai Kitchen     38     7.5    21
( 190 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  58351cb823188e7d9dc4d76d  Saap Saap Thai      9     6.6     5
( 191 / 221 ) processed
                         ID                          Name  Likes  Rating  Tips
0  5602a497498eeb82cd6918ab  Taste of Thailand (Original)      9     7.5     3
( 192 / 221 ) processed
                         ID         Name  Likes  Rating  Tips
0  587a1563561ded2967529265  Tomyum Mama     16     8.7     7
( 193 / 221 ) processed
                         ID                Name  Likes  Rating  Tips
0  4c1a0400838020a1cd83e661  E-Sarn Thai Corner     21     7.3    19
( 194 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  549980c0498eb47afc9ae507  Thai in Town      7     6.0     9
( 195 / 221 ) processed
                         ID      Name  Likes  Rating  Tips
0  514bf5c7e4b07ab0bb982912  BALIThai     15     6.1    14
( 196 / 221 ) processed
                         ID      Name  Likes  Rating  Tips
0  514bf5c7e4b07ab0bb982912  BALIThai     15     6.1    14
( 197 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 4cbe836419ceb1f77b1b1ecd
( 198 / 221 ) processed
                         ID      Name  Likes  Rating  Tips
0  514bf5c7e4b07ab0bb982912  BALIThai     15     6.1    14
( 199 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 4cbe836419ceb1f77b1b1ecd
( 200 / 221 ) processed
                         ID          Name  Likes  Rating  Tips
0  54f31b20498e31ed2e79266f  Orto Mookata     11     6.4     4
( 201 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  4bdbb36863c5c9b679642968  Bei Sheng Seafood      8     6.8    18
( 202 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  4b9b6fe2f964a520440736e3  Taste Of Thailand     43     6.3    68
( 203 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  4ebbc8ee9911cfd604ce43bf  Thai The Dine In      4     5.8     5
( 204 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  551d2f47498e6ba82559a6c1  Nakhon Kitchen     26     8.0    13
( 205 / 221 ) processed
                         ID  \
0  51616da9e4b0e63c799f73f5   

                                                Name  Likes  Rating  Tips  
0  Thai Hao Chi Traditional Thai Charcoal Steambo...      9     8.3     2  
( 206 / 221 ) processed
                         ID     Name  Likes  Rating  Tips
0  54e08bc0498ec2e50ab10199  Mookata      6     7.7     1
( 207 / 221 ) processed
Empty DataFrame
Columns: [ID, Name, Likes, Rating, Tips]
Index: []
No data available for id= 4d0df5b23bbaa143541d40da
( 208 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  551d2f47498e6ba82559a6c1  Nakhon Kitchen     26     8.0    13
( 209 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  551d2f47498e6ba82559a6c1  Nakhon Kitchen     26     8.0    13
( 210 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  4bdbb36863c5c9b679642968  Bei Sheng Seafood      8     6.8    18
( 211 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  4b9b6fe2f964a520440736e3  Taste Of Thailand     43     6.3    68
( 212 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  4ebbc8ee9911cfd604ce43bf  Thai The Dine In      4     5.8     5
( 213 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  551d2f47498e6ba82559a6c1  Nakhon Kitchen     26     8.0    13
( 214 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  4bdbb36863c5c9b679642968  Bei Sheng Seafood      8     6.8    18
( 215 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  4b9b6fe2f964a520440736e3  Taste Of Thailand     43     6.3    68
( 216 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  4ebbc8ee9911cfd604ce43bf  Thai The Dine In      4     5.8     5
( 217 / 221 ) processed
                         ID            Name  Likes  Rating  Tips
0  551d2f47498e6ba82559a6c1  Nakhon Kitchen     26     8.0    13
( 218 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  4bdbb36863c5c9b679642968  Bei Sheng Seafood      8     6.8    18
( 219 / 221 ) processed
                         ID               Name  Likes  Rating  Tips
0  4b9b6fe2f964a520440736e3  Taste Of Thailand     43     6.3    68
( 220 / 221 ) processed
                         ID              Name  Likes  Rating  Tips
0  4ebbc8ee9911cfd604ce43bf  Thai The Dine In      4     5.8     5
( 221 / 221 ) processed

thai_rest_stats_sg.head()

thai_rest_stats_sg = thai_rest_stats_sg[(thai_rest_stats_sg['ID'] != 0)]
thai_rest_stats_sg['Likes'] = thai_rest_stats_sg['Likes'].astype('float64')
thai_rest_stats_sg['Tips'] = thai_rest_stats_sg['Tips'].astype('float64')
thai_rest_stats_sg.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 210 entries, 0 to 220
Data columns (total 6 columns):
 #   Column        Non-Null Count  Dtype  
---  ------        --------------  -----  
 0   Neighborhood  210 non-null    object 
 1   ID            210 non-null    object 
 2   Name          210 non-null    object 
 3   Likes         210 non-null    float64
 4   Rating        210 non-null    float64
 5   Tips          210 non-null    float64
dtypes: float64(3), object(3)
memory usage: 11.5+ KB

thai = thai_rest_stats_sg.drop_duplicates(subset ='ID', keep ="first")
thai.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 81 entries, 0 to 206
Data columns (total 6 columns):
 #   Column        Non-Null Count  Dtype  
---  ------        --------------  -----  
 0   Neighborhood  81 non-null     object 
 1   ID            81 non-null     object 
 2   Name          81 non-null     object 
 3   Likes         81 non-null     float64
 4   Rating        81 non-null     float64
 5   Tips          81 non-null     float64
dtypes: float64(3), object(3)
memory usage: 4.4+ KB

thai.sort_values(by = ['Likes','Rating'],ascending = False)

From the above sorted dataframe, we can recommend someone who wants to have a good Thai cuisine to try out the first 5 in the list as they are very popular among the local communities in Singapore.

Conclusion for the business problems¶

From the Foursquare API, we can locate a total of 36 unique Korean restaurants and 81 unique Thai restaurants in Singapore. There could be more as some of the Korean restaurants could be categorized under BBQ joint. A further data manipulation will be required to find out those.

Out of these list, we found the Korean and Thai restaurants that are very popular among the locals in Singapore.

In addition from the 2 lists, we can also advise a businessman to try opening a Korean restaurant in Singapore since there is lesser as compared to Thai restaurant. More room for business in this sense.

We can do a map visualization to see where exactly in Singapore neighborhoods to open to prevent more competition.

sg_venues.head()

rest_kor = sg_venues_clean[(sg_venues_clean['Venue Category'] == 'Korean Restaurant')]

rest_kor.head()

rest_kor.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 38 entries, 261 to 14841
Data columns (total 8 columns):
 #   Column                  Non-Null Count  Dtype  
---  ------                  --------------  -----  
 0   Neighborhood            38 non-null     object 
 1   Neighborhood Latitude   38 non-null     float64
 2   Neighborhood Longitude  38 non-null     float64
 3   Venue                   38 non-null     object 
 4   Venue ID                38 non-null     object 
 5   Venue Latitude          38 non-null     float64
 6   Venue Longitude         38 non-null     float64
 7   Venue Category          38 non-null     object 
dtypes: float64(4), object(4)
memory usage: 2.7+ KB

address = 'Singapore'

geolocator = Nominatim(user_agent = "sg_explorer")
location = geolocator.geocode(address, timeout = 10)
latitude = location.latitude
longitude = location.longitude
print('The geograpical coordinate of Singapore are {}, {}.'.format(latitude, longitude))

The geograpical coordinate of Singapore are 1.3408630000000001, 103.83039182212079.

map_Sg_kor = folium.Map(location=[latitude, longitude], zoom_start = 11)


for lat, lng, venue, neighborhood in zip(rest_kor['Venue Latitude'], rest_kor['Venue Longitude'], 
                                          rest_kor['Venue'], rest_kor['Neighborhood']):
    label = '{},{}'.format(venue, neighborhood)
    label = folium.Popup(label, parse_html = True)
    folium.CircleMarker(
        [lat, lng],
        radius = 3,
        popup = label,
        color = 'red',
        fill = True,
        fill_color = '#3186cc',
        fill_opacity = 0.5,
        parse_html = False).add_to(map_Sg_kor)  
    
map_Sg_kor

From the map visualization for the Korean restaurants currently opened in Singapore, we see that there is a potential for the businessman to open a Korean restaurant further to the north of Singapore, namely Woodlands and also Changi to the East region of Singapore.

For completeness, we can also do a similar map visualization to take a look at the Thai restaurants.

rest_thai = sg_venues_clean[(sg_venues_clean['Venue Category'] == 'Thai Restaurant')]
rest_thai.head()

map_Sg_thai = folium.Map(location = [latitude, longitude], zoom_start = 11)


for lat, lng, venue, neighborhood in zip(rest_thai['Venue Latitude'], rest_thai['Venue Longitude'], 
                                          rest_thai['Venue'], rest_thai['Neighborhood']):
    label = '{},{}'.format(venue, neighborhood)
    label = folium.Popup(label, parse_html=True)
    folium.CircleMarker(
        [lat, lng],
        radius = 3,
        popup = label,
        color = 'blue',
        fill = True,
        fill_color = '#3186cc',
        fill_opacity = 0.5,
        parse_html = False).add_to(map_Sg_thai)  
    
map_Sg_thai

The last business problem to address is to find out what venue categories that are the most popular.

sg_venues_clean['Venue Category'].value_counts()

Coffee Shop                                 379
Chinese Restaurant                          365
Food Court                                  326
Café                                        269
Asian Restaurant                            206
Fast Food Restaurant                        164
Japanese Restaurant                         147
Bus Station                                 137
Indian Restaurant                           134
Supermarket                                 128
Bakery                                      125
Noodle House                                124
Park                                        112
Hotel                                       108
Seafood Restaurant                          106
Shopping Mall                                94
Thai Restaurant                              89
Italian Restaurant                           79
Dessert Shop                                 77
Gym                                          72
Convenience Store                            72
Sandwich Place                               70
Restaurant                                   63
Bar                                          60
Vegetarian / Vegan Restaurant                57
Ice Cream Shop                               52
Grocery Store                                50
BBQ Joint                                    48
Trail                                        46
Gym / Fitness Center                         46
Pool                                         46
Bus Stop                                     44
Sushi Restaurant                             43
Spa                                          41
Snack Place                                  39
Steakhouse                                   39
Korean Restaurant                            38
Pizza Place                                  34
Soup Place                                   34
Bus Line                                     34
Clothing Store                               34
American Restaurant                          33
Malay Restaurant                             31
Bubble Tea Shop                              30
Fried Chicken Joint                          29
Playground                                   29
Basketball Court                             27
Pharmacy                                     26
French Restaurant                            25
Dim Sum Restaurant                           25
Multiplex                                    24
Bookstore                                    24
Cocktail Bar                                 24
Ramen Restaurant                             23
Electronics Store                            23
Wine Bar                                     23
Cosmetics Shop                               23
Golf Course                                  22
Hotpot Restaurant                            22
Halal Restaurant                             22
Sporting Goods Shop                          21
Diner                                        21
Furniture / Home Store                       21
Metro Station                                21
Frozen Yogurt Shop                           20
Yoga Studio                                  20
Bistro                                       19
Salad Place                                  18
Stadium                                      18
Hostel                                       17
Dumpling Restaurant                          17
Breakfast Spot                               17
Boutique                                     17
Soccer Field                                 17
Department Store                             17
Gastropub                                    17
Burger Joint                                 16
Plaza                                        16
Pet Store                                    16
Beach                                        16
Indonesian Restaurant                        16
Vietnamese Restaurant                        16
Market                                       15
Art Gallery                                  15
Harbor / Marina                              15
Athletics & Sports                           15
Bowling Alley                                15
Pub                                          15
Nightclub                                    15
Garden                                       14
Scenic Lookout                               14
Karaoke Bar                                  14
Lounge                                       14
Movie Theater                                13
Massage Studio                               13
Food                                         13
College Cafeteria                            13
Beer Bar                                     12
Lake                                         12
Cafeteria                                    12
Mexican Restaurant                           12
Hainan Restaurant                            12
Food & Drink Shop                            12
Flower Shop                                  11
Beer Garden                                  11
Boat or Ferry                                11
Juice Bar                                    11
Tea Room                                     11
Tennis Court                                 11
Spanish Restaurant                           11
Miscellaneous Shop                           10
Gas Station                                  10
Club House                                   10
Shoe Store                                   10
Office                                       10
Deli / Bodega                                10
Waterfront                                   10
Airport                                       9
Performing Arts Venue                         9
Modern European Restaurant                    9
Hotel Bar                                     9
General Entertainment                         8
Music Venue                                   8
Resort                                        8
Bridge                                        8
Pier                                          8
Cantonese Restaurant                          8
Train Station                                 8
Brewery                                       7
Discount Store                                7
Gift Shop                                     7
Food Truck                                    7
German Restaurant                             7
Martial Arts School                           7
Light Rail Station                            7
Residential Building (Apartment / Condo)      7
Gourmet Shop                                  7
Comfort Food Restaurant                       7
Farm                                          7
Wings Joint                                   7
Kids Store                                    6
Exhibit                                       6
Farmers Market                                6
Filipino Restaurant                           6
Recreation Center                             6
Toy / Game Store                              6
Gym Pool                                      6
Event Space                                   6
Museum                                        6
Campground                                    6
Other Great Outdoors                          6
Hong Kong Restaurant                          6
Hobby Shop                                    6
Building                                      6
Buffet                                        5
Zoo Exhibit                                   5
Mediterranean Restaurant                      5
Theater                                       5
Middle Eastern Restaurant                     5
Water Park                                    5
South Indian Restaurant                       5
Whisky Bar                                    5
Speakeasy                                     5
Smoke Shop                                    5
Dog Run                                       5
Arts & Crafts Store                           5
Airport Lounge                                5
Cupcake Shop                                  5
Sports Bar                                    5
Australian Restaurant                         5
Soccer Stadium                                5
Monument / Landmark                           5
Dance Studio                                  5
Chinese Breakfast Place                       4
North Indian Restaurant                       4
Kitchen Supply Store                          4
Mobile Phone Shop                             4
Pool Hall                                     4
Fishing Spot                                  4
Greek Restaurant                              4
Accessories Store                             4
Botanical Garden                              4
Motorcycle Shop                               4
Portuguese Restaurant                         4
Rest Area                                     4
Fruit & Vegetable Store                       4
Skate Park                                    4
Wine Shop                                     4
Track Stadium                                 4
Jewelry Store                                 4
Racetrack                                     4
Art Museum                                    4
Candy Store                                   4
Nature Preserve                               4
Paper / Office Supplies Store                 4
Betting Shop                                  3
Go Kart Track                                 3
Canal                                         3
Garden Center                                 3
Concert Hall                                  3
New American Restaurant                       3
Shabu-Shabu Restaurant                        3
Historic Site                                 3
Thrift / Vintage Store                        3
Casino                                        3
Fish & Chips Shop                             3
Climbing Gym                                  3
Szechuan Restaurant                           3
Salon / Barbershop                            3
Bagel Shop                                    3
Peking Duck Restaurant                        3
College Gym                                   3
Road                                          3
Reservoir                                     3
Chocolate Shop                                3
Flea Market                                   3
Public Art                                    3
Sculpture Garden                              3
History Museum                                3
Track                                         3
Tapas Restaurant                              3
Fish Market                                   3
Tourist Information Center                    3
Butcher                                       2
Hookah Bar                                    2
Optical Shop                                  2
Burrito Place                                 2
Health Food Store                             2
Sports Club                                   2
Photography Studio                            2
Souvenir Shop                                 2
Beach Bar                                     2
Video Game Store                              2
High School                                   2
Swiss Restaurant                              2
Health & Beauty Service                       2
Dive Bar                                      2
Bed & Breakfast                               2
Outdoors & Recreation                         2
Arcade                                        2
Hakka Restaurant                              2
Night Market                                  2
Gun Range                                     2
Video Store                                   2
Bike Rental / Bike Share                      2
Outdoor Sculpture                             2
Medical Center                                2
English Restaurant                            2
Bike Trail                                    2
Airport Service                               2
Lighthouse                                    2
Hotel Pool                                    2
Indoor Play Area                              2
Lingerie Store                                2
Skating Rink                                  2
Stables                                       2
College Theater                               2
Theme Park                                    2
Tech Startup                                  2
River                                         2
Taiwanese Restaurant                          2
Kebab Restaurant                              2
Food Service                                  2
Satay Restaurant                              2
Latin American Restaurant                     2
Cha Chaan Teng                                2
Shop & Service                                2
Pie Shop                                      2
Border Crossing                               2
Gaming Cafe                                   2
Airport Terminal                              2
Shaanxi Restaurant                            1
Cheese Shop                                   1
Nail Salon                                    1
Construction & Landscaping                    1
College Bookstore                             1
Badminton Court                               1
Big Box Store                                 1
Military Base                                 1
Cable Car                                     1
Paella Restaurant                             1
Aquarium                                      1
Baby Store                                    1
Doctor's Office                               1
Theme Park Ride / Attraction                  1
Mosque                                        1
Ski Area                                      1
Bridal Shop                                   1
Cemetery                                      1
TV Station                                    1
Baseball Stadium                              1
Rock Climbing Spot                            1
Southern / Soul Food Restaurant               1
Boarding House                                1
Laundromat                                    1
Jazz Club                                     1
Baseball Field                                1
Scandinavian Restaurant                       1
Japanese Curry Restaurant                     1
Music Store                                   1
Buddhist Temple                               1
Yunnan Restaurant                             1
Bowling Green                                 1
Organic Grocery                               1
Persian Restaurant                            1
College Auditorium                            1
Planetarium                                   1
Soba Restaurant                               1
Travel Lounge                                 1
Pedestrian Plaza                              1
Veterinarian                                  1
College Administrative Building               1
Hospital                                      1
Motel                                         1
Volleyball Court                              1
Stationery Store                              1
Neighborhood                                  1
Udon Restaurant                               1
Island                                        1
Zoo                                           1
Waterfall                                     1
Other Nightlife                               1
Food Stand                                    1
Moving Target                                 1
Other Repair Shop                             1
College Stadium                               1
Hardware Store                                1
Outlet Store                                  1
Fujian Restaurant                             1
Print Shop                                    1
Mountain                                      1
School                                        1
Gay Bar                                       1
Science Museum                                1
Community Center                              1
Caribbean Restaurant                          1
Zhejiang Restaurant                           1
Post Office                                   1
Pop-Up Shop                                   1
Golf Driving Range                            1
Ski Chalet                                    1
Warehouse Store                               1
Rock Club                                     1
Bay                                           1
Hockey Arena                                  1
Escape Room                                   1
Chinese Aristocrat Restaurant                 1
Non-Profit                                    1
Hot Dog Joint                                 1
Turkish Restaurant                            1
Arts & Entertainment                          1
Beer Store                                    1
Factory                                       1
Intersection                                  1
Macanese Restaurant                           1
Parking                                       1
Sake Bar                                      1
Pet Service                                   1
Drugstore                                     1
Women's Store                                 1
Shanghai Restaurant                           1
Shopping Plaza                                1
General College & University                  1
Bank                                          1
Paintball Field                               1
Auto Garage                                   1
Housing Development                           1
Business Service                              1
Lottery Retailer                              1
Used Auto Dealership                          1
Government Building                           1
Coworking Space                               1
Street Food Gathering                         1
Field                                         1
Carpet Store                                  1
Belgian Restaurant                            1
Temple                                        1
Eastern European Restaurant                   1
ATM                                           1
Comedy Club                                   1
Board Shop                                    1
Hot Spring                                    1
Name: Venue Category, dtype: int64

The top five most popular venues in Singapore are mostly Food & Beverage venue.

	Neighborhood	Neighborhood Latitude	Neighborhood Longitude	Venue	Venue ID	Venue Latitude	Venue Longitude	Venue Category
0	Ang Mo Kio Town Centre	1.371285	103.846994	Face Ban Mian 非板面 (Ang Mo Kio)	50712b67e4b0548504446dea	1.372031	103.847504	Noodle House
1	Ang Mo Kio Town Centre	1.371285	103.846994	Old Chang Kee	4bc30123abf495215220c393	1.369094	103.848389	Snack Place
2	Ang Mo Kio Town Centre	1.371285	103.846994	FairPrice Xtra	4b15f661f964a52012b623e3	1.369279	103.848886	Supermarket
3	Ang Mo Kio Town Centre	1.371285	103.846994	NTUC FairPrice	4ece4dd693ad987b4a9fb4ef	1.371507	103.847082	Supermarket
4	Ang Mo Kio Town Centre	1.371285	103.846994	MOS Burger	4b1ea04ff964a520e21c24e3	1.369170	103.847831	Burger Joint
5	Ang Mo Kio Town Centre	1.371285	103.846994	Kam Jia Zhuang Restaurant	4b9f647df964a520032037e3	1.368167	103.844118	Asian Restaurant
6	Ang Mo Kio Town Centre	1.371285	103.846994	PLAYe	4b5eef6df964a5208b9e29e3	1.369109	103.848225	Hobby Shop
7	Ang Mo Kio Town Centre	1.371285	103.846994	Collin's Grille . Bento	57662f0f498e7856b64833be	1.371713	103.847526	Modern European Restaurant
8	Ang Mo Kio Town Centre	1.371285	103.846994	A&W	5d48d8dfdae4eb0008d85e5a	1.369541	103.849043	Fast Food Restaurant
9	Ang Mo Kio Town Centre	1.371285	103.846994	Xi Xiang Feng Yong Tau Foo 喜相逢酿豆腐	4b0a18e6f964a520c02123e3	1.371975	103.846408	Chinese Restaurant
10	Ang Mo Kio Town Centre	1.371285	103.846994	True Fitness	51f77455498e868c8f2bbbbb	1.372891	103.847661	Gym
11	Ang Mo Kio Town Centre	1.371285	103.846994	e品红麻辣香锅 Mala Hot Pot	53c68f51498efd710da56841	1.371498	103.847803	Asian Restaurant
12	Ang Mo Kio Town Centre	1.371285	103.846994	Dog Run @ Bishan Park	4d5cc196775f8cfae9f2b9e0	1.365967	103.844024	Dog Run
13	Ang Mo Kio Town Centre	1.371285	103.846994	Swensen's	5213643e11d236c03cd2810f	1.369112	103.847718	Dessert Shop
14	Ang Mo Kio Town Centre	1.371285	103.846994	Pepper Lunch	4b06a9c8f964a52059ee22e3	1.369107	103.847791	Japanese Restaurant

	Neighborhood	Neighborhood Latitude	Neighborhood Longitude	Venue	Venue ID	Venue Latitude	Venue Longitude	Venue Category
0	Ang Mo Kio Town Centre	1.371285	103.846994	Face Ban Mian 非板面 (Ang Mo Kio)	50712b67e4b0548504446dea	1.372031	103.847504	Noodle House
1	Ang Mo Kio Town Centre	1.371285	103.846994	Old Chang Kee	4bc30123abf495215220c393	1.369094	103.848389	Snack Place
2	Ang Mo Kio Town Centre	1.371285	103.846994	FairPrice Xtra	4b15f661f964a52012b623e3	1.369279	103.848886	Supermarket
3	Ang Mo Kio Town Centre	1.371285	103.846994	NTUC FairPrice	4ece4dd693ad987b4a9fb4ef	1.371507	103.847082	Supermarket
4	Ang Mo Kio Town Centre	1.371285	103.846994	MOS Burger	4b1ea04ff964a520e21c24e3	1.369170	103.847831	Burger Joint

	Neighborhood	Neighborhood Latitude	Neighborhood Longitude	Venue	Venue ID	Venue Latitude	Venue Longitude	Venue Category
0	Ang Mo Kio Town Centre	1.371285	103.846994	Face Ban Mian 非板面 (Ang Mo Kio)	50712b67e4b0548504446dea	1.372031	103.847504	Noodle House
1	Ang Mo Kio Town Centre	1.371285	103.846994	Old Chang Kee	4bc30123abf495215220c393	1.369094	103.848389	Snack Place
2	Ang Mo Kio Town Centre	1.371285	103.846994	FairPrice Xtra	4b15f661f964a52012b623e3	1.369279	103.848886	Supermarket
3	Ang Mo Kio Town Centre	1.371285	103.846994	NTUC FairPrice	4ece4dd693ad987b4a9fb4ef	1.371507	103.847082	Supermarket
4	Ang Mo Kio Town Centre	1.371285	103.846994	MOS Burger	4b1ea04ff964a520e21c24e3	1.369170	103.847831	Burger Joint

	year	level_1	level_2	level_3	value
0	2015	Total	Ang Mo Kio	Ang Mo Kio Town Centre	5020
1	2015	Total	Ang Mo Kio	Cheng San	29770
2	2015	Total	Ang Mo Kio	Chong Boon	27900
3	2015	Total	Ang Mo Kio	Kebun Bahru	23910
4	2015	Total	Ang Mo Kio	Sembawang Hills	6890

	Area	Latitude	Longitude	Neighborhood	Population
0	Ang Mo Kio	None	None	Ang Mo Kio Town Centre	5020
1	Ang Mo Kio	None	None	Cheng San	29770
2	Ang Mo Kio	None	None	Chong Boon	27900
3	Ang Mo Kio	None	None	Kebun Bahru	23910
4	Ang Mo Kio	None	None	Sembawang Hills	6890

	Area	Latitude	Longitude	Neighborhood	Population
0	Ang Mo Kio	1.37128	103.847	Ang Mo Kio Town Centre	5020
1	Ang Mo Kio	1.34086	103.83	Cheng San	29770
2	Ang Mo Kio	1.36821	103.856	Chong Boon	27900
3	Ang Mo Kio	1.46021	103.777	Kebun Bahru	23910
4	Ang Mo Kio	1.3724	103.829	Sembawang Hills	6890

	Neighborhood Latitude	Neighborhood Longitude	Venue	Venue ID	Venue Latitude	Venue Longitude	Venue Category
Neighborhood
Admiralty	28	28	28	28	28	28	28
Alexandra Hill	84	84	84	84	84	84	84
Aljunied	100	100	100	100	100	100	100
Anak Bukit	75	75	75	75	75	75	75
Anchorvale	22	22	22	22	22	22	22
Ang Mo Kio Town Centre	81	81	81	81	81	81	81
Anson	49	49	49	49	49	49	49
Balestier	54	54	54	54	54	54	54
Bangkit	40	40	40	40	40	40	40
Bayshore	45	45	45	45	45	45	45
Bedok North	41	41	41	41	41	41	41
Bedok Reservoir	13	13	13	13	13	13	13
Bedok South	8	8	8	8	8	8	8
Bencoolen	2	2	2	2	2	2	2
Bendemeer	47	47	47	47	47	47	47
Bidadari	22	22	22	22	22	22	22
Bishan East	67	67	67	67	67	67	67
Boat Quay	2	2	2	2	2	2	2
Boon Keng	39	39	39	39	39	39	39
Boon Lay Place	16	16	16	16	16	16	16
Boon Teck	22	22	22	22	22	22	22
Boulevard	1	1	1	1	1	1	1
Braddell	65	65	65	65	65	65	65
Bras Basah	19	19	19	19	19	19	19
Bugis	85	85	85	85	85	85	85
Bukit Batok Central	52	52	52	52	52	52	52
Bukit Batok East	11	11	11	11	11	11	11
Bukit Batok West	26	26	26	26	26	26	26
Bukit Ho Swee	100	100	100	100	100	100	100
Bukit Merah	54	54	54	54	54	54	54
Cairnhill	45	45	45	45	45	45	45
Central Water Catchment	3	3	3	3	3	3	3
Changi Point	32	32	32	32	32	32	32
Chatsworth	13	13	13	13	13	13	13
Cheng San	19	19	19	19	19	19	19
China Square	15	15	15	15	15	15	15
Chinatown	2	2	2	2	2	2	2
Choa Chu Kang Central	48	48	48	48	48	48	48
Choa Chu Kang North	21	21	21	21	21	21	21
Chong Boon	31	31	31	31	31	31	31
City Hall	17	17	17	17	17	17	17
City Terminals	4	4	4	4	4	4	4
Clarke Quay	1	1	1	1	1	1	1
Clementi Central	92	92	92	92	92	92	92
Clementi Woods	64	64	64	64	64	64	64
Commonwealth	32	32	32	32	32	32	32
Compassvale	25	25	25	25	25	25	25
Coronation Road	51	51	51	51	51	51	51
Crawford	31	31	31	31	31	31	31
Dairy Farm	10	10	10	10	10	10	10
Defu Industrial Park	35	35	35	35	35	35	35
Depot Road	78	78	78	78	78	78	78
Dhoby Ghaut	62	62	62	62	62	62	62
Dover	20	20	20	20	20	20	20
Dunearn	6	6	6	6	6	6	6
Everton Park	99	99	99	99	99	99	99
Faber	13	13	13	13	13	13	13
Fajar	2	2	2	2	2	2	2
Farrer Court	100	100	100	100	100	100	100
Fernvale	60	60	60	60	60	60	60
Flora Drive	23	23	23	23	23	23	23
Fort Canning	47	47	47	47	47	47	47
Frankel	87	87	87	87	87	87	87
Gali Batu	4	4	4	4	4	4	4
Geylang Bahru	12	12	12	12	12	12	12
Geylang East	48	48	48	48	48	48	48
Ghim Moh	7	7	7	7	7	7	7
Gombak	24	24	24	24	24	24	24
Goodwood Park	6	6	6	6	6	6	6
Greenwood Park	19	19	19	19	19	19	19
Guilin	1	1	1	1	1	1	1
Gul Circle	9	9	9	9	9	9	9
Henderson Hill	19	19	19	19	19	19	19
Hillcrest	100	100	100	100	100	100	100
Hillview	35	35	35	35	35	35	35
Holland Road	100	100	100	100	100	100	100
Hong Kah North	21	21	21	21	21	21	21
Hougang Central	60	60	60	60	60	60	60
Hougang East	8	8	8	8	8	8	8
Institution Hill	2	2	2	2	2	2	2
International Business Park	56	56	56	56	56	56	56
Jelebu	36	36	36	36	36	36	36
Joo Koon	22	22	22	22	22	22	22
Joo Seng	8	8	8	8	8	8	8
Jurong Gateway	39	39	39	39	39	39	39
Jurong Port	8	8	8	8	8	8	8
Jurong River	18	18	18	18	18	18	18
Jurong West Central	63	63	63	63	63	63	63
Kaki Bukit	16	16	16	16	16	16	16
Kallang Bahru	5	5	5	5	5	5	5
Kallang Way	36	36	36	36	36	36	36
Kampong Bugis	26	26	26	26	26	26	26
Kampong Glam	5	5	5	5	5	5	5
Kampong Java	75	75	75	75	75	75	75
Kampong Ubi	43	43	43	43	43	43	43
Kangkar	33	33	33	33	33	33	33
Katong	99	99	99	99	99	99	99
Keat Hong	15	15	15	15	15	15	15
Kebun Bahru	20	20	20	20	20	20	20
Kembangan	28	28	28	28	28	28	28
Kent Ridge	74	74	74	74	74	74	74
Khatib	46	46	46	46	46	46	46
Kian Teck	22	22	22	22	22	22	22
Kim Keat	15	15	15	15	15	15	15
Kovan	52	52	52	52	52	52	52
Kranji	14	14	14	14	14	14	14
Lakeside	19	19	19	19	19	19	19
Leedon Park	2	2	2	2	2	2	2
Leonie Hill	4	4	4	4	4	4	4
Lim Chu Kang	6	6	6	6	6	6	6
Little India	1	1	1	1	1	1	1
Lorong 8 Toa Payoh	28	28	28	28	28	28	28
Lorong Ah Soo	33	33	33	33	33	33	33
Lorong Chuan	52	52	52	52	52	52	52
Lower Seletar	22	22	22	22	22	22	22
Loyang East	6	6	6	6	6	6	6
Mackenzie	1	1	1	1	1	1	1
Macpherson	18	18	18	18	18	18	18
Malcolm	19	19	19	19	19	19	19
Mandai Estate	7	7	7	7	7	7	7
Margaret Drive	16	16	16	16	16	16	16
Marine Parade	13	13	13	13	13	13	13
Maritime Square	67	67	67	67	67	67	67
Marymount	51	51	51	51	51	51	51
Matilda	35	35	35	35	35	35	35
Mei Chin	36	36	36	36	36	36	36
Midview	25	25	25	25	25	25	25
Monk's Hill	2	2	2	2	2	2	2
Moulmein	2	2	2	2	2	2	2
Mount Pleasant	3	3	3	3	3	3	3
Mountbatten	35	35	35	35	35	35	35
Nassim	5	5	5	5	5	5	5
Nature Reserve	26	26	26	26	26	26	26
Nee Soon	84	84	84	84	84	84	84
Newton Circus	27	27	27	27	27	27	27
North Coast	9	9	9	9	9	9	9
Northland	27	27	27	27	27	27	27
Northshore	31	31	31	31	31	31	31
One Tree Hill	2	2	2	2	2	2	2
Orange Grove	43	43	43	43	43	43	43
Oxley	3	3	3	3	3	3	3
Pang Sua	1	1	1	1	1	1	1
Pasir Panjang 1	27	27	27	27	27	27	27
Pasir Ris Central	34	34	34	34	34	34	34
Pasir Ris Drive	5	5	5	5	5	5	5
Pasir Ris Park	46	46	46	46	46	46	46
Paterson	2	2	2	2	2	2	2
Paya Lebar East	11	11	11	11	11	11	11
Pearl's Hill	10	10	10	10	10	10	10
Penjuru Crescent	8	8	8	8	8	8	8
People's Park	1	1	1	1	1	1	1
Port	29	29	29	29	29	29	29
Potong Pasir	11	11	11	11	11	11	11
Punggol Field	40	40	40	40	40	40	40
Punggol Town Centre	5	5	5	5	5	5	5
Queensway	13	13	13	13	13	13	13
Raffles Place	45	45	45	45	45	45	45
Redhill	18	18	18	18	18	18	18
Reservoir View	26	26	26	26	26	26	26
Ridout	9	9	9	9	9	9	9
Rivervale	8	8	8	8	8	8	8
Robertson Quay	1	1	1	1	1	1	1
Samulun	7	7	7	7	7	7	7
Saujana	13	13	13	13	13	13	13
Seletar	10	10	10	10	10	10	10
Seletar Aerospace Park	12	12	12	12	12	12	12
Seletar Hills	5	5	5	5	5	5	5
Sembawang Central	48	48	48	48	48	48	48
Sembawang Hills	36	36	36	36	36	36	36
Sembawang Springs	13	13	13	13	13	13	13
Sembawang Straits	28	28	28	28	28	28	28
Sengkang Town Centre	7	7	7	7	7	7	7
Senja	2	2	2	2	2	2	2
Senoko North	8	8	8	8	8	8	8
Sentosa	35	35	35	35	35	35	35
Serangoon Central	26	26	26	26	26	26	26
Serangoon Garden	45	45	45	45	45	45	45
Serangoon North	31	31	31	31	31	31	31
Shangri-La	100	100	100	100	100	100	100
Siglap	12	12	12	12	12	12	12
Simei	53	53	53	53	53	53	53
Singapore General Hospital	4	4	4	4	4	4	4
Somerset	14	14	14	14	14	14	14
Springleaf	24	24	24	24	24	24	24
Sunset Way	30	30	30	30	30	30	30
Swiss Club	37	37	37	37	37	37	37
Tagore	13	13	13	13	13	13	13
Tai Seng	23	23	23	23	23	23	23
Taman Jurong	16	16	16	16	16	16	16
Tampines East	31	31	31	31	31	31	31
Tampines West	47	47	47	47	47	47	47
Tanglin	91	91	91	91	91	91	91
Tanjong Pagar	1	1	1	1	1	1	1
Tanjong Rhu	47	47	47	47	47	47	47
Teban Gardens	4	4	4	4	4	4	4
Teck Whye	1	1	1	1	1	1	1
Telok Blangah Drive	24	24	24	24	24	24	24
Telok Blangah Rise	23	23	23	23	23	23	23
Telok Blangah Way	4	4	4	4	4	4	4
Tengah	2	2	2	2	2	2	2
Tiong Bahru	9	9	9	9	9	9	9
Toa Payoh West	12	12	12	12	12	12	12
Toh Guan	10	10	10	10	10	10	10
Toh Tuck	18	18	18	18	18	18	18
Townsville	30	30	30	30	30	30	30
Tuas Bay	6	6	6	6	6	6	6
Tukang	21	21	21	21	21	21	21
Turf Club	3	3	3	3	3	3	3
Tyersall	2	2	2	2	2	2	2
Ulu Pandan	22	22	22	22	22	22	22
Upper Thomson	12	12	12	12	12	12	12
Victoria	21	21	21	21	21	21	21
Waterway East	1	1	1	1	1	1	1
West Coast	14	14	14	14	14	14	14
Western Water Catchment	2	2	2	2	2	2	2
Woodgrove	58	58	58	58	58	58	58
Woodlands East	29	29	29	29	29	29	29
Woodlands South	7	7	7	7	7	7	7
Woodleigh	4	4	4	4	4	4	4
Xilin	78	78	78	78	78	78	78
Yew Tee	23	23	23	23	23	23	23
Yio Chu Kang	22	22	22	22	22	22	22
Yishun Central	6	6	6	6	6	6	6
Yuhua East	6	6	6	6	6	6	6
Yunnan	16	16	16	16	16	16	16

	Latitude	1st Most Common Venue	2nd Most Common Venue	3rd Most Common Venue	4th Most Common Venue	5th Most Common Venue	6th Most Common Venue	7th Most Common Venue	8th Most Common Venue	9th Most Common Venue	10th Most Common Venue
56	1.382678	Asian Restaurant	Bus Station	Zoo	Event Space	Factory	Farm	Farmers Market	Fast Food Restaurant	Field	Filipino Restaurant
159	1.375368	Bus Station	Seafood Restaurant	Food Court	Chinese Restaurant	Zoo	Exhibit	Factory	Farm	Farmers Market	Fast Food Restaurant
219	1.380623	Bus Station	Basketball Court	Snack Place	Park	Convenience Store	Supermarket	BBQ Joint	Farm	Farmers Market	Fast Food Restaurant
220	1.391924	Bus Station	Other Great Outdoors	Basketball Court	Grocery Store	Supermarket	Zoo	Farm	Farmers Market	Fast Food Restaurant	Field
233	1.389274	Bus Station	Sports Club	Zoo	Fishing Spot	Factory	Farm	Farmers Market	Fast Food Restaurant	Field	Filipino Restaurant
235	1.393777	Bus Station	Zoo	Fishing Spot	Factory	Farm	Farmers Market	Fast Food Restaurant	Field	Filipino Restaurant	Fish & Chips Shop
250	1.335530	Bus Station	Coffee Shop	Metro Station	Chinese Restaurant	Asian Restaurant	Martial Arts School	Hotel Pool	Food Service	Fish & Chips Shop	Factory
254	1.331414	Bus Station	Gym	Thrift / Vintage Store	Resort	Nightclub	Theater	Bus Line	Factory	Farm	Farmers Market
264	1.355520	Bus Station	Asian Restaurant	Sandwich Place	Supermarket	Salad Place	Badminton Court	Fast Food Restaurant	Trail	Café	Pool

	Latitude	Cluster Labels	1st Most Common Venue	2nd Most Common Venue	3rd Most Common Venue	4th Most Common Venue	5th Most Common Venue	6th Most Common Venue	7th Most Common Venue	8th Most Common Venue	9th Most Common Venue	10th Most Common Venue
149	1.318050	1	Noodle House	Hostel	Zoo	Flea Market	Factory	Farm	Farmers Market	Fast Food Restaurant	Field	Filipino Restaurant
151	1.277669	1	Noodle House	Zoo	Flea Market	Factory	Farm	Farmers Market	Fast Food Restaurant	Field	Filipino Restaurant	Fish & Chips Shop
230	1.288187	1	Hostel	Zoo	Fishing Spot	Exhibit	Factory	Farm	Farmers Market	Fast Food Restaurant	Field	Filipino Restaurant

	Neighborhood	ID	Name
0	Shangri-La	539bda5c498ea6a82328fa17	Seoul Restaurant (Charcoal barbecue)
1	Marymount	4bd4219b77b29c7488289282	Parker Korean Restaurant
2	Bukit Ho Swee	4f241718e4b0008741f2ca13	BigMama Korean Restaurant
3	Depot Road	55c045ce498ef4ba12e8fd64	The Gogi
4	Everton Park	4f57625de4b0a4bae7120806	Super Star K Korean BBQ

	Neighborhood	ID	Name	Likes	Rating	Tips
30	Anson	4e5e1aefe4cdfc603ed5c7c3	왕대박 Wang Dae Bak Korean BBQ Restaurant	98.0	8.2	33.0
36	Raffles Place	51279816e4b0e4084477c34d	Wang Dae Bak Korean BBQ	71.0	8.1	23.0
31	Anson	543e53f6498e8eacbba09d5e	Oven & Fried Chicken	65.0	7.8	28.0
55	Dhoby Ghaut	4b70d58cf964a520ca302de3	Kim Dae Mun Korean Food	64.0	8.3	61.0
4	Everton Park	4f57625de4b0a4bae7120806	Super Star K Korean BBQ	54.0	8.3	20.0
2	Bukit Ho Swee	4f241718e4b0008741f2ca13	BigMama Korean Restaurant	46.0	7.0	21.0
52	Katong	4bcbe7450687ef3b3f92decc	Doong Ji Korean Restaurant	29.0	7.2	27.0
40	Aljunied	52a945c411d2c6d9b10b2c3a	Ju Shin Jung	28.0	6.8	7.0
41	Kovan	4e07231a483b98d4170e8157	Hansik Korean Restaurant	27.0	7.4	18.0
66	Tanglin	4b592290f964a520577e28e3	Chang Korean BBQ	26.0	5.8	20.0
5	Everton Park	528b5cee11d2eff2bb5cd4d5	Don Dae Bak	25.0	7.6	4.0
6	Maritime Square	5322a364498ea3d0580f5be9	Paik's Bibim	25.0	7.3	14.0
93	Serangoon Garden	4e9024dc775bfdaabc346dd3	Hanwoori Korean Restaurant	21.0	6.4	18.0
19	Anak Bukit	4cba37b6c7228cfa58c515ce	Kim's Family Restaurant	20.0	5.7	40.0
12	Anak Bukit	553e0db9498e9ba5847ff140	Three Meals a Day (삼시세끼)	19.0	8.0	15.0
14	Anak Bukit	4c010d85cf3aa5930e5dccb0	Woorinara Korean Restaurant	17.0	6.9	11.0
92	Serangoon Central	50d2eee7e4b07de97871ad0a	Seoul Garden	16.0	7.0	7.0
0	Shangri-La	539bda5c498ea6a82328fa17	Seoul Restaurant (Charcoal barbecue)	15.0	8.0	7.0
65	Tanglin	57b838c3498e955a15a93e71	Chang Korean BBQ	14.0	7.8	3.0
43	Lorong Ah Soo	4f004859d3e364d5fcca30a7	Goki Day Korean BBQ Buffet Restaurant	13.0	7.1	4.0
26	Clementi Woods	4ec0a5c629c25ce5a25d2379	황 Hwang's	13.0	6.7	14.0
1	Marymount	4bd4219b77b29c7488289282	Parker Korean Restaurant	10.0	6.2	16.0
17	Anak Bukit	4c652be9c74c1b8df751b383	Joo Mak Korean Restaurant	10.0	6.2	14.0
15	Anak Bukit	4f9cf067e4b04dd735eaa371	Sin Manbok	9.0	7.1	8.0
3	Depot Road	55c045ce498ef4ba12e8fd64	The Gogi	9.0	7.0	11.0
47	Jurong Gateway	53881b77498e33f16c34889e	Oppa Korean Grill BBQ	9.0	6.6	4.0
13	Anak Bukit	5618f61f498e1a671fa78f2e	Oven & Fried Chicken	8.0	7.3	6.0
16	Anak Bukit	4f12b9cce4b07e9ecbbc4a2f	Ga Ya Guem Korean Family Restaurant	8.0	6.6	9.0
20	Hillcrest	5d1ec4335cbbb2002366cf03	Ajumma's	7.0	7.7	7.0
50	Kampong Bugis	59323a7a916bc1447767f975	Omoomo Food Concepts	6.0	7.1	3.0
80	Kent Ridge	53281e84498e4e312c042fb9	Sunny Korean	6.0	6.2	3.0
45	International Business Park	57933e6d498e1f75f9f4955d	Chir Chir	5.0	7.2	6.0
21	Holland Road	5666c8a0498e92a6426490a5	chibing	5.0	6.7	2.0
102	Braddell	51974bc5498e968daf58212f	Korean BBQ Buffet (KBB)	5.0	6.1	6.0
81	Kent Ridge	56e78dbf498e37fb5bd50da4	Hoodadak	4.0	5.9	2.0
18	Anak Bukit	53d249cc498e53e973aa85a0	名家 (Ming Jia) 명가 II Korean BBQ	3.0	5.9	5.0

	Neighborhood	ID	Name
0	Ang Mo Kio Town Centre	51243f60e4b02ffb6a43eeea	Soi 19 十九街 Thai Wanton Mee
1	Kebun Bahru	5a1e3ebf3149b9447be1aec5	Carabao Thai Restaurant Stulang
2	Sembawang Hills	4f712a2be4b09e60f82d8389	泰美妙海鲜 Thai Wonder Cuisine
3	Shangri-La	56cee098498e2f5c99b54a8d	Kra Pow Thai Street Food
4	Yio Chu Kang	51243f60e4b02ffb6a43eeea	Soi 19 十九街 Thai Wanton Mee

	Neighborhood	ID	Name	Likes	Rating	Tips
70	Defu Industrial Park	4bc44c65abf4952126cfc493	Nakhon Kitchen	93.0	8.1	108.0
119	Tanglin	4baeeb0ef964a520bfe13be3	Jim Thompson	93.0	7.6	38.0
82	Crawford	4c2d68bee760c9b63af24449	Beer Thai House Restaurant	82.0	8.2	37.0
61	Bugis	4cb0535d562d224b303b1588	Jai Thai	68.0	7.6	64.0
120	Tanglin	4b0cde52f964a5204f4223e3	Tawandang Microbrewery	59.0	6.3	52.0
83	Crawford	4bc4c1a0461576b005678032	Nana Original Thai Food	56.0	8.0	28.0
21	Alexandra Hill	5436696c498e33113d456016	#87 Just Thai	53.0	8.1	10.0
8	Bishan East	4b36df8bf964a520ab3d25e3	Jai Thai	52.0	7.1	61.0
81	Crawford	4d075aaa26adb1f72e41e170	New Udon Thai Food (BBQ Steamboat)	45.0	8.1	22.0
137	Pasir Panjang 1	4c3d6c2a15cb1b8deef37bdc	E-Sarn Thai Cuisine	43.0	7.4	39.0
202	Nee Soon	4b9b6fe2f964a520440736e3	Taste Of Thailand	43.0	6.3	68.0
0	Ang Mo Kio Town Centre	51243f60e4b02ffb6a43eeea	Soi 19 十九街 Thai Wanton Mee	40.0	6.5	25.0
172	Tampines West	4fddad68e4b049c33bd0d6ff	Soi Thai Kitchen	38.0	7.5	21.0
123	Pasir Ris Central	4d05bc01a2685481707ebebd	The Basil Inn	30.0	7.1	22.0
59	Bugis	5809abe738fab1dc497bd39f	Ah Loy Thai	29.0	8.1	12.0
204	Northland	551d2f47498e6ba82559a6c1	Nakhon Kitchen	26.0	8.0	13.0
22	Alexandra Hill	4d5fabbe196ba09365761056	Joe's Kitchen Thai Cuisine	26.0	7.1	17.0
121	Tanglin	4b058813f964a5204db022e3	Patara Fine Thai Cuisine	25.0	6.3	20.0
85	Crawford	4bdad5072a3a0f47af27acb6	Nongkhai หนองคาย 隆开	22.0	7.7	25.0
14	Marymount	4c1a0400838020a1cd83e661	E-Sarn Thai Corner	21.0	7.3	19.0
157	Sembawang Central	54705d4a498e8876c2694262	JJ Thai Cuisine	18.0	7.6	11.0
156	Victoria	4ccc0d917c2ff04df64c967e	ThaiPan	18.0	6.8	27.0
20	Hong Kah North	5479a984498e141c4cce0b3b	Bangkok Street Mookata	17.0	7.5	4.0
102	Tanjong Rhu	4b655d2af964a52083ee2ae3	Thai Village Restaurant	17.0	7.1	4.0
12	Marymount	587a1563561ded2967529265	Tomyum Mama	16.0	8.7	7.0
45	Swiss Club	51fcb12b498e46f224c79217	E-Sarn Thai Cuisine	16.0	6.7	7.0
28	Maritime Square	4c87825d51ada1cd61424810	Thaksin Beef Noodle	16.0	6.6	13.0
195	Woodgrove	514bf5c7e4b07ab0bb982912	BALIThai	15.0	6.1	14.0
9	Bishan East	4d9476735241a1cd39815f4b	Mata Thai Restaurant	15.0	6.0	34.0
114	Newton Circus	4d1862076d10370427723ebd	Thai Village Restaurant	15.0	6.0	11.0
166	Serangoon Garden	5762376f498ed59f67f9791a	Soi Thai Kitchen	14.0	6.6	6.0
84	Crawford	5837c4776e60752e1df5797c	Thai-Thai Kitchen	13.0	8.1	3.0
44	Swiss Club	51df898a498e56e0e64c5409	Royal Thai	13.0	8.0	7.0
94	Kampong Java	579dac11498ef4fbf0684d8b	A-Roy Thai Restaurant	13.0	6.8	7.0
3	Shangri-La	56cee098498e2f5c99b54a8d	Kra Pow Thai Street Food	12.0	7.8	16.0
200	Khatib	54f31b20498e31ed2e79266f	Orto Mookata	11.0	6.4	4.0
171	Tampines West	5b2b292c3af988002ced398c	Nakhon Kitchen	10.0	8.1	3.0
42	Coronation Road	4ba45952f964a520bc9738e3	Le Wu Café	10.0	6.0	9.0
56	Sunset Way	5017a98de4b02848f719002c	Thai Express	10.0	5.5	7.0
205	Springleaf	51616da9e4b0e63c799f73f5	Thai Hao Chi Traditional Thai Charcoal Steambo...	9.0	8.3	2.0
27	Everton Park	4c345b95a0ced13aaffa176e	Issan Thai Food	9.0	8.1	7.0
19	Upper Thomson	5602a497498eeb82cd6918ab	Taste of Thailand (Original)	9.0	7.5	3.0
46	Choa Chu Kang Central	4bada046f964a520c75f3be3	Siam Kitchen	9.0	6.7	8.0
173	Tampines West	58351cb823188e7d9dc4d76d	Saap Saap Thai	9.0	6.6	5.0
132	Dover	4b83c01af964a520130f31e3	E-Sarn Thai Cuisine	8.0	7.8	15.0
71	Hougang Central	5960a89b9be5224b9b83c056	Tiew Mai Thai Boat Noodle	8.0	7.4	5.0
93	Kampong Java	4be563532468c928c2efff42	Bangkok Express	8.0	7.4	9.0
64	Aljunied	4b6432ecf964a520b4a32ae3	Thai Delights @ Lor 12 Geylang	8.0	7.2	4.0
51	Clementi Central	4b72520ff964a520ae772de3	Thaksin Beef Noodle	8.0	7.0	4.0
76	Lorong Ah Soo	54b660d4498e91db7c94be34	Yaowarat Seafood	8.0	6.9	5.0
201	Nee Soon	4bdbb36863c5c9b679642968	Bei Sheng Seafood	8.0	6.8	18.0
162	Fernvale	4f376297e4b0d26ba1011e6d	Mai Thai	8.0	6.6	7.0
180	Braddell	5917e9592bf9a936dec6c9a9	Soi 47 Thai Food	8.0	6.5	6.0
41	Coronation Road	4b583420f964a520e44d28e3	Thai Noodle House	7.0	6.1	27.0
15	Marymount	549980c0498eb47afc9ae507	Thai in Town	7.0	6.0	9.0
25	Bukit Ho Swee	5b25206195d986002c246edb	Little Elephant	6.0	8.3	3.0
105	Fort Canning	5b2f272b8496ca002c9e2935	Un-Yang-Kor-Dai	6.0	8.1	3.0
206	Springleaf	54e08bc0498ec2e50ab10199	Mookata	6.0	7.7	1.0
1	Kebun Bahru	5a1e3ebf3149b9447be1aec5	Carabao Thai Restaurant Stulang	6.0	7.4	13.0
95	Kampong Java	5aa4c1aa6fa81f2f6c9718b7	Baan Ying	6.0	6.5	19.0
174	Xilin	5ac710e379f6c74413fedcf2	The Original Boat Noodle	6.0	6.5	2.0
43	Holland Road	5290292e498e7949ebfc62d4	Sala Thai Kitchen	6.0	6.3	3.0
35	Jelebu	53749f67498ebf1a4f44c65b	Rasa Rasa Seafood Restaurant	5.0	6.8	0.0
37	Anak Bukit	4daec6304b229076786d5ffa	Tasty Thai Hut	5.0	6.8	3.0
129	Paya Lebar East	504da249e4b04a78b07b80dc	Sri Bistari Changi Village Famous Ayam Penyet	5.0	6.8	2.0
65	Aljunied	53021f91498e6d3419a15817	Mae Toi Thai Food	5.0	6.7	1.0
126	Pasir Ris Park	4d564ecae7f1a1cd2c0305a5	Magic Wok Restaurant	5.0	6.1	23.0
161	Fernvale	53fddb3e498e8b37594a775b	BALIThai	5.0	6.1	3.0
10	Bishan East	50fa92bfe4b04cffec4dbfd5	Aroy Mookata	5.0	5.8	2.0
134	Kent Ridge	56aae05b498efacbe702fb1d	The Red Noodle & Bottle Bar	5.0	5.7	2.0
60	Bugis	59c4fd028134883ec2ee1aef	Sticky Rice	4.0	8.0	2.0
38	Anak Bukit	4ce7f13bf86537045009adc4	HotSpice Thai Cuisine	4.0	6.8	7.0
67	Geylang East	585376d72eb979557cf6b5f1	Lotus Thai Restaurant	4.0	6.3	2.0
68	Kampong Ubi	5af6cc863abcaf002cd0a0a3	Took Lae Dee	4.0	6.3	5.0
39	Anak Bukit	5a69b465a0215b2c2b56e65b	Royal Thai Boat Noodles & Bar	4.0	6.2	4.0
170	Sentosa	56dec434cd1095d757cbc5a0	Gin Khao Bistro	4.0	6.1	4.0
203	Nee Soon	4ebbc8ee9911cfd604ce43bf	Thai The Dine In	4.0	5.8	5.0
182	Braddell	4c1df1978b3aa59339579b5f	Wang Thai Kitchen (旺泰小橱)	3.0	5.5	7.0
40	Anak Bukit	59959121bfc6d06a2950f0fb	Time For Thai	2.0	5.8	3.0
66	Aljunied	5cc592425d891b002ceee10b	Gu Thai House	2.0	5.8	5.0
26	Bukit Ho Swee	4ba8b7cef964a5205ee939e3	Go Thai	1.0	7.0	11.0

	Neighborhood	Airport	Airport Lounge	Airport Service	American Restaurant	Art Gallery	Art Museum	Arts & Crafts Store	Arts & Entertainment	Asian Restaurant	Athletics & Sports	Auto Garage	BBQ Joint	Baby Store	Bakery	Bank	Bar	Basketball Court	Beach	Beer Bar	Beer Garden	Beer Store	Betting Shop	Bike Trail	Bistro	Boarding House	Bookstore	Border Crossing	Boutique	Bowling Alley	Breakfast Spot	Brewery	Bridal Shop	Bridge	Bubble Tea Shop	Building	Burger Joint	Burrito Place	Bus Line	Bus Station	Bus Stop	Cable Car	Cafeteria	Café	Campground	Candy Store	Cantonese Restaurant	Chinese Breakfast Place	Chinese Restaurant	Climbing Gym	Clothing Store	Cocktail Bar	Coffee Shop	College Auditorium	College Cafeteria	College Stadium	College Theater	Comfort Food Restaurant	Convenience Store	Cosmetics Shop	Cupcake Shop	Dance Studio	Deli / Bodega	Department Store	Dessert Shop	Dim Sum Restaurant	Diner	Doctor's Office	Dog Run	Dumpling Restaurant	Eastern European Restaurant	Electronics Store	Escape Room	Farm	Farmers Market	Fast Food Restaurant	Field	Filipino Restaurant	Fish & Chips Shop	Flea Market	Flower Shop	Food	Food & Drink Shop	Food Court	Food Truck	French Restaurant	Fried Chicken Joint	Frozen Yogurt Shop	Fruit & Vegetable Store	Furniture / Home Store	Gaming Cafe	Garden	Garden Center	Gas Station	Gastropub	General College & University	General Entertainment	German Restaurant	Gift Shop	Golf Course	Gourmet Shop	Greek Restaurant	Grocery Store	Gym	Gym / Fitness Center	Hainan Restaurant	Hakka Restaurant	Halal Restaurant	Historic Site	Hobby Shop	Hockey Arena	Hookah Bar	Hostel	Hotel	Hotel Bar	Hotpot Restaurant	Ice Cream Shop	Indian Restaurant	Indonesian Restaurant	Indoor Play Area	Intersection	Italian Restaurant	Japanese Restaurant	Jazz Club	Jewelry Store	Juice Bar	Karaoke Bar	Kids Store	Kitchen Supply Store	Korean Restaurant	Lake	Latin American Restaurant	Laundromat	Light Rail Station	Lingerie Store	Lounge	Malay Restaurant	Market	Martial Arts School	Massage Studio	Mediterranean Restaurant	Metro Station	Mexican Restaurant	Middle Eastern Restaurant	Miscellaneous Shop	Mobile Phone Shop	Modern European Restaurant	Monument / Landmark	Mosque	Motorcycle Shop	Movie Theater	Multiplex	Nightclub	Non-Profit	Noodle House	Office	Organic Grocery	Other Great Outdoors	Other Repair Shop	Paper / Office Supplies Store	Park	Peking Duck Restaurant	Pet Store	Pharmacy	Pier	Pizza Place	Playground	Plaza	Pool	Pop-Up Shop	Portuguese Restaurant	Ramen Restaurant	Reservoir	Residential Building (Apartment / Condo)	Rest Area	Restaurant	Road	Salad Place	Salon / Barbershop	Sandwich Place	Scenic Lookout	School	Sculpture Garden	Seafood Restaurant	Shaanxi Restaurant	Shanghai Restaurant	Shoe Store	Shopping Mall	Skate Park	Smoke Shop	Snack Place	Soccer Field	Soccer Stadium	Soup Place	Spa	Spanish Restaurant	Speakeasy	Sporting Goods Shop	Stadium	Steakhouse	Street Food Gathering	Supermarket	Sushi Restaurant	Tea Room	Tech Startup	Thai Restaurant	Toy / Game Store	Track	Trail	Train Station	Vegetarian / Vegan Restaurant	Veterinarian	Vietnamese Restaurant	Whisky Bar	Wine Bar	Wings Joint	Yoga Studio
0	Admiralty	0.035714	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.035714	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.142857	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.035714	0.000000	0.000000	0.000000	0.071429	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.035714	0.000000	0.035714	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.071429	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.107143	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.035714	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.035714	0.107143	0.000000	0.035714	0.000000	0.000000	0.035714	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.071429	0.000000	0.000000	0.000000	0.035714	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.071429	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
1	Alexandra Hill	0.000000	0.000000	0.000000	0.011905	0.023810	0.000000	0.011905	0.000000	0.035714	0.000000	0.000000	0.000000	0.00000	0.023810	0.000000	0.011905	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.000000	0.083333	0.000000	0.000000	0.023810	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.023810	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.000000	0.059524	0.000000	0.011905	0.011905	0.000000	0.000000	0.023810	0.000000	0.011905	0.000000	0.000000	0.000000	0.0	0.011905	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.011905	0.011905	0.000000	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.011905	0.011905	0.000000	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.023810	0.011905	0.00	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.023810	0.000000	0.011905	0.000000	0.011905	0.023810	0.000000	0.000000	0.023810	0.000000	0.000000	0.000000	0.011905	0.000000	0.000000	0.000000	0.000000	0.000000	0.023810	0.000000	0.000000	0.000000	0.023810	0.000000	0.000000	0.000000	0.035714	0.023810	0.000000	0.011905	0.023810	0.000000	0.000000	0.023810	0.000000	0.000000	0.000000	0.011905	0.000000	0.011905	0.000000	0.000000
2	Aljunied	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.030000	0.000000	0.000000	0.040000	0.00000	0.020000	0.000000	0.010000	0.020000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.01	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020000	0.000000	0.000000	0.010000	0.000000	0.130000	0.010000	0.000000	0.000000	0.020000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.030000	0.040000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.090000	0.010000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.040000	0.000000	0.000000	0.000000	0.030000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.080000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.040000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.010000	0.000000	0.020000	0.020000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.010000	0.000000	0.000000	0.000000	0.030000	0.000000	0.000000	0.000000	0.000000	0.040000	0.000000	0.000000	0.000000	0.000000	0.010000	0.010000
3	Anak Bukit	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.026667	0.000000	0.000000	0.013333	0.00000	0.026667	0.000000	0.013333	0.000000	0.000000	0.000000	0.000000	0.013333	0.000000	0.000000	0.013333	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.013333	0.093333	0.000000	0.000000	0.000000	0.000000	0.093333	0.000000	0.000000	0.000000	0.040000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.026667	0.026667	0.013333	0.000000	0.000000	0.000000	0.000000	0.000000	0.013333	0.000000	0.000000	0.013333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.053333	0.000000	0.000000	0.013333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.013333	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.013333	0.000000	0.000000	0.013333	0.000000	0.000000	0.013333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.013333	0.040000	0.000000	0.000000	0.000000	0.000000	0.013333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.106667	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.013333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.013333	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.013333	0.000000	0.013333	0.013333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.026667	0.000000	0.000000	0.000000	0.026667	0.000000	0.000000	0.000000	0.026667	0.000000	0.000000	0.000000	0.000000	0.000000	0.013333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.040000	0.000000	0.000000	0.000000	0.053333	0.000000	0.000000	0.013333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
4	Anchorvale	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.045455	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.136364	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
5	Ang Mo Kio Town Centre	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.024691	0.000000	0.000000	0.012346	0.00000	0.012346	0.012346	0.012346	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.024691	0.000000	0.012346	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.012346	0.000000	0.000000	0.000000	0.061728	0.000000	0.000000	0.000000	0.061728	0.012346	0.012346	0.000000	0.000000	0.000000	0.037037	0.000000	0.000000	0.000000	0.000000	0.000000	0.037037	0.012346	0.000000	0.000000	0.012346	0.000000	0.000000	0.012346	0.000000	0.000000	0.000000	0.024691	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.160494	0.000000	0.000000	0.012346	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.012346	0.000000	0.000000	0.000000	0.000000	0.000000	0.012346	0.012346	0.012346	0.000000	0.000000	0.012346	0.000000	0.012346	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.012346	0.000000	0.000000	0.000000	0.000000	0.024691	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.012346	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.012346	0.000000	0.012346	0.000000	0.000000	0.000000	0.000000	0.012346	0.000000	0.000000	0.037037	0.000000	0.00	0.000000	0.000000	0.000000	0.012346	0.000000	0.000000	0.012346	0.000000	0.000000	0.000000	0.000000	0.012346	0.000000	0.000000	0.012346	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.024691	0.000000	0.000000	0.000000	0.012346	0.000000	0.012346	0.000000	0.012346	0.000000	0.000000	0.024691	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.012346	0.000000	0.000000	0.000000	0.024691	0.012346	0.000000	0.000000	0.012346	0.000000	0.000000	0.000000	0.000000	0.024691	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
6	Anson	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.040816	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.040816	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.000000	0.000000	0.061224	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.040816	0.102041	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.040816	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.020408	0.040816	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.040816	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.00	0.020408	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.020408	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.040816	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.040816	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.040816	0.000000	0.000000	0.000000	0.000000	0.020408	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020408
7	Balestier	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.00000	0.074074	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.111111	0.000000	0.000000	0.000000	0.055556	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.055556	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.055556	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.037037	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.092593	0.000000	0.000000	0.000000	0.037037	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.00	0.000000	0.000000	0.000000	0.018519	0.000000	0.018519	0.000000	0.000000	0.000000	0.018519	0.000000	0.037037	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.037037	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.037037	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.018519	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
8	Bangkit	0.000000	0.000000	0.000000	0.025000	0.000000	0.000000	0.000000	0.000000	0.050000	0.000000	0.000000	0.025000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025000	0.025000	0.00	0.025000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025000	0.075000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.075000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025000	0.000000	0.000000	0.000000	0.000000	0.025000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.075000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.075000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.050000	0.000000	0.00	0.000000	0.000000	0.000000	0.075000	0.000000	0.000000	0.025000	0.000000	0.000000	0.025000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025000	0.000000	0.025000	0.025000	0.000000	0.000000	0.025000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.050000	0.025000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
9	Bayshore	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.088889	0.000000	0.000000	0.044444	0.00000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.044444	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.155556	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.044444	0.000000	0.00	0.000000	0.000000	0.000000	0.044444	0.000000	0.022222	0.000000	0.022222	0.022222	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.022222	0.022222
10	Bedok North	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.048780	0.000000	0.000000	0.000000	0.02439	0.000000	0.000000	0.000000	0.024390	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.048780	0.024390	0.000000	0.000000	0.048780	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.097561	0.000000	0.000000	0.000000	0.000000	0.000000	0.024390	0.000000	0.000000	0.000000	0.000000	0.024390	0.024390	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.073171	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.121951	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.024390	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.024390	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.097561	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.024390	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.024390	0.000000	0.000000	0.024390	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.024390	0.000000	0.000000	0.000000	0.024390	0.024390	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.024390	0.000000	0.073171	0.000000	0.000000	0.000000	0.024390	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
11	Bedok Reservoir	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.153846	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.076923	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.076923	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
12	Bedok South	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.125000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.125000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.125000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.125000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.125000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.125000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.125000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.125000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
13	Bencoolen	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.500000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.5	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
14	Bendemeer	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.021277	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.021277	0.000000	0.000000	0.000000	0.000000	0.148936	0.000000	0.000000	0.000000	0.063830	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.021277	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.021277	0.000000	0.000000	0.000000	0.042553	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.106383	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.042553	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.021277	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.021277	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.021277	0.000000	0.063830	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.042553	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.042553	0.000000	0.000000	0.000000	0.021277	0.000000	0.000000	0.000000	0.063830	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.042553	0.000000	0.000000	0.021277	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.063830	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.063830	0.000000	0.021277	0.000000	0.000000	0.000000	0.000000
15	Bidadari	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.181818	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.045455	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
16	Bishan East	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.044776	0.000000	0.000000	0.014925	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.014925	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.044776	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.014925	0.044776	0.000000	0.000000	0.000000	0.000000	0.074627	0.000000	0.000000	0.000000	0.089552	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.014925	0.000000	0.000000	0.000000	0.014925	0.000000	0.000000	0.000000	0.000000	0.000000	0.014925	0.014925	0.014925	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.089552	0.000000	0.000000	0.014925	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.014925	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.029851	0.014925	0.000000	0.000000	0.014925	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.029851	0.000000	0.000000	0.000000	0.000000	0.029851	0.044776	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.014925	0.000000	0.000000	0.029851	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.014925	0.014925	0.000000	0.014925	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.014925	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.044776	0.014925	0.000000	0.000000	0.014925	0.000000	0.000000	0.000000	0.014925	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.029851	0.000000	0.000000	0.000000	0.059701	0.000000	0.014925	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
17	Boat Quay	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.500000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.500000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
18	Boon Keng	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.102564	0.000000	0.000000	0.000000	0.00000	0.025641	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.025641	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.128205	0.000000	0.000000	0.000000	0.051282	0.000000	0.000000	0.000000	0.000000	0.000000	0.025641	0.000000	0.000000	0.000000	0.000000	0.000000	0.025641	0.025641	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025641	0.025641	0.000000	0.000000	0.000000	0.000000	0.051282	0.000000	0.051282	0.000000	0.000000	0.025641	0.000000	0.025641	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025641	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.051282	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.102564	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025641	0.025641	0.000000	0.000000	0.000000	0.025641	0.000000	0.000000	0.025641	0.000000	0.025641	0.025641	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025641	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.025641	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
19	Boon Lay Place	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.00000	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
20	Boon Teck	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.00000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.045455	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.181818	0.000000	0.000000	0.000000	0.136364	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.181818	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.00	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.045455	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
21	Boulevard	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
22	Braddell	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.030769	0.000000	0.000000	0.015385	0.00000	0.046154	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.015385	0.000000	0.000000	0.000000	0.015385	0.000000	0.015385	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.046154	0.000000	0.000000	0.000000	0.015385	0.092308	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.030769	0.015385	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.030769	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.015385	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.015385	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.015385	0.030769	0.000000	0.000000	0.000000	0.000000	0.015385	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.015385	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.015385	0.000000	0.000000	0.000000	0.046154	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.107692	0.015385	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.015385	0.000000	0.000000	0.000000	0.030769	0.000000	0.000000	0.000000	0.015385	0.000000	0.000000	0.030769	0.000000	0.000000	0.015385	0.000000	0.000000	0.000000	0.000000	0.000000	0.030769	0.000000	0.015385	0.000000	0.000000	0.000000	0.030769	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
23	Bras Basah	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.105263	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.105263	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.157895	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632
24	Bugis	0.000000	0.000000	0.000000	0.000000	0.023529	0.011765	0.000000	0.000000	0.000000	0.000000	0.000000	0.011765	0.00000	0.058824	0.000000	0.011765	0.000000	0.000000	0.023529	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.035294	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011765	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047059	0.000000	0.000000	0.000000	0.000000	0.035294	0.000000	0.011765	0.035294	0.035294	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.035294	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011765	0.000000	0.011765	0.000000	0.000000	0.000000	0.000000	0.011765	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.011765	0.000000	0.000000	0.000000	0.000000	0.000000	0.011765	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011765	0.000000	0.070588	0.000000	0.000000	0.023529	0.011765	0.011765	0.000000	0.000000	0.047059	0.035294	0.011765	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.023529	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011765	0.000000	0.011765	0.000000	0.000000	0.000000	0.000000	0.023529	0.000000	0.000000	0.000000	0.011765	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.011765	0.000000	0.000000	0.000000	0.000000	0.000000	0.011765	0.011765	0.000000	0.011765	0.000000	0.000000	0.000000	0.023529	0.000000	0.000000	0.011765	0.000000	0.000000	0.000000	0.000000	0.011765	0.000000	0.000000	0.011765	0.023529	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.011765	0.011765	0.000000	0.035294	0.000000	0.000000	0.000000	0.000000	0.023529	0.000000	0.000000	0.011765	0.011765	0.000000	0.011765
25	Bukit Batok Central	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.019231	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.173077	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.057692	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.153846	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.019231	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
26	Bukit Batok East	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.090909	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.272727	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.090909	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
27	Bukit Batok West	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.192308	0.000000	0.000000	0.000000	0.153846	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.230769	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.038462	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
28	Bukit Ho Swee	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.00000	0.050000	0.000000	0.030000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.030000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.060000	0.000000	0.000000	0.000000	0.000000	0.120000	0.000000	0.000000	0.000000	0.030000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.020000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.040000	0.000000	0.000000	0.000000	0.020000	0.000000	0.010000	0.000000	0.000000	0.000000	0.010000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.010000	0.000000	0.000000	0.020000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.030000	0.010000	0.000000	0.010000	0.020000	0.010000	0.010000	0.000000	0.010000	0.050000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020000	0.000000	0.040000	0.000000	0.01	0.000000	0.000000	0.000000	0.030000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.010000	0.000000	0.010000	0.000000	0.010000	0.000000	0.000000	0.000000	0.020000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.010000	0.000000	0.000000	0.020000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.030000	0.020000	0.000000	0.000000	0.020000	0.000000	0.000000	0.000000	0.000000	0.010000	0.000000	0.000000	0.000000	0.000000	0.000000	0.010000
29	Bukit Merah	0.000000	0.000000	0.000000	0.018519	0.037037	0.000000	0.000000	0.000000	0.055556	0.000000	0.000000	0.018519	0.00000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.018519	0.055556	0.018519	0.000000	0.037037	0.000000	0.018519	0.000000	0.000000	0.018519	0.000000	0.074074	0.000000	0.037037	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.037037	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.037037	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.037037	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.055556	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.055556	0.000000	0.000000	0.018519	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.037037	0.000000	0.018519	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
30	Cairnhill	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.044444	0.000000	0.000000	0.000000	0.00000	0.044444	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.022222	0.0000	0.088889	0.000000	0.022222	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.066667	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.044444	0.000000	0.000000	0.022222	0.022222	0.022222	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.044444	0.022222	0.000000	0.000000	0.000000	0.044444	0.000000	0.000000	0.000000	0.044444	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222	0.000000	0.022222	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.022222
31	Central Water Catchment	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.333333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.333333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.333333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
32	Changi Point	0.156250	0.093750	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0625	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.0	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.031250	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.031250	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
33	Chatsworth	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.153846	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.076923	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.076923	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
34	Cheng San	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.315789	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.052632	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.052632	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.210526	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
35	China Square	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.066667	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.000000	0.066667	0.000000	0.133333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.133333	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.066667	0.000000	0.000000
36	Chinatown	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.500000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.500000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
37	Choa Chu Kang Central	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.00000	0.020833	0.000000	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.020833	0.00	0.020833	0.0000	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.041667	0.000000	0.000000	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.041667	0.000000	0.020833	0.000000	0.125000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.104167	0.000000	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.062500	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.020833	0.020833	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.041667	0.000000	0.00	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.020833	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.020833	0.020833	0.000000	0.000000	0.020833	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
38	Choa Chu Kang North	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.047619	0.000000	0.000000	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.095238	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.095238	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.095238	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.095238	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.047619	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
39	Chong Boon	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.000000	0.032258	0.000000	0.00000	0.064516	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.0000	0.000000	0.000000	0.000000	0.000000	0.032258	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.000000	0.000000	0.000000	0.064516	0.000000	0.000000	0.000000	0.000000	0.096774	0.000000	0.000000	0.000000	0.032258	0.000000	0.032258	0.000000	0.032258	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.032258	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.193548	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.032258	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.000000	0.000000	0.000000	0.000000	0.032258	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.032258	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000

	Neighborhood	Neighborhood Latitude	Neighborhood Longitude	Venue	Venue ID	Venue Latitude	Venue Longitude	Venue Category
261	Shangri-La	1.311247	103.826757	Seoul Restaurant (Charcoal barbecue)	539bda5c498ea6a82328fa17	1.304777	103.825300	Korean Restaurant
947	Marymount	1.348604	103.839393	Parker Korean Restaurant	4bd4219b77b29c7488289282	1.352265	103.835294	Korean Restaurant
1587	Bukit Ho Swee	1.287995	103.828564	BigMama Korean Restaurant	4f241718e4b0008741f2ca13	1.285386	103.829427	Korean Restaurant
1732	Depot Road	1.281568	103.811037	The Gogi	55c045ce498ef4ba12e8fd64	1.287485	103.804827	Korean Restaurant
1817	Everton Park	1.277129	103.839368	Super Star K Korean BBQ	4f57625de4b0a4bae7120806	1.278003	103.843680	Korean Restaurant